langchain_community 0.2.5¶

langchain_community.adapters¶

Adapters are used to adapt LangChain models to other APIs.

LangChain integrates with many model providers. While LangChain has its own message and model APIs, LangChain has also made it as easy as possible to explore other models by exposing an adapter to adapt LangChain models to the other APIs, as to the OpenAI API.

Classes¶

adapters.openai.Chat()

Chat.

adapters.openai.ChatCompletion()

Chat completion.

adapters.openai.ChatCompletionChunk

Chat completion chunk.

adapters.openai.ChatCompletions

Chat completions.

adapters.openai.Choice

Choice.

adapters.openai.ChoiceChunk

Choice chunk.

adapters.openai.Completions()

Completions.

adapters.openai.IndexableBaseModel

Allows a BaseModel to return its fields by string variable indexing.

Functions¶

adapters.openai.aenumerate(iterable[, start])

Async version of enumerate function.

adapters.openai.convert_dict_to_message(_dict)

Convert a dictionary to a LangChain message.

adapters.openai.convert_message_to_dict(message)

Convert a LangChain message to a dictionary.

adapters.openai.convert_messages_for_finetuning(...)

Convert messages to a list of lists of dictionaries for fine-tuning.

adapters.openai.convert_openai_messages(messages)

Convert dictionaries representing OpenAI messages to LangChain format.

langchain_community.agent_toolkits¶

Toolkits are sets of tools that can be used to interact with various services and APIs.

Classes¶

agent_toolkits.ainetwork.toolkit.AINetworkToolkit

Toolkit for interacting with AINetwork Blockchain.

agent_toolkits.amadeus.toolkit.AmadeusToolkit

Toolkit for interacting with Amadeus which offers APIs for travel.

agent_toolkits.azure_ai_services.AzureAiServicesToolkit

Toolkit for Azure AI Services.

agent_toolkits.azure_cognitive_services.AzureCognitiveServicesToolkit

Toolkit for Azure Cognitive Services.

agent_toolkits.cassandra_database.toolkit.CassandraDatabaseToolkit

Toolkit for interacting with an Apache Cassandra database.

agent_toolkits.clickup.toolkit.ClickupToolkit

Clickup Toolkit.

agent_toolkits.cogniswitch.toolkit.CogniswitchToolkit

Toolkit for CogniSwitch.

agent_toolkits.connery.toolkit.ConneryToolkit

Toolkit with a list of Connery Actions as tools.

agent_toolkits.file_management.toolkit.FileManagementToolkit

Toolkit for interacting with local files.

agent_toolkits.github.toolkit.BranchName

Schema for operations that require a branch name as input.

agent_toolkits.github.toolkit.CommentOnIssue

Schema for operations that require a comment as input.

agent_toolkits.github.toolkit.CreateFile

Schema for operations that require a file path and content as input.

agent_toolkits.github.toolkit.CreatePR

Schema for operations that require a PR title and body as input.

agent_toolkits.github.toolkit.CreateReviewRequest

Schema for operations that require a username as input.

agent_toolkits.github.toolkit.DeleteFile

Schema for operations that require a file path as input.

agent_toolkits.github.toolkit.DirectoryPath

Schema for operations that require a directory path as input.

agent_toolkits.github.toolkit.GetIssue

Schema for operations that require an issue number as input.

agent_toolkits.github.toolkit.GetPR

Schema for operations that require a PR number as input.

agent_toolkits.github.toolkit.GitHubToolkit

GitHub Toolkit.

agent_toolkits.github.toolkit.NoInput

Schema for operations that do not require any input.

agent_toolkits.github.toolkit.ReadFile

Schema for operations that require a file path as input.

agent_toolkits.github.toolkit.SearchCode

Schema for operations that require a search query as input.

agent_toolkits.github.toolkit.SearchIssuesAndPRs

Schema for operations that require a search query as input.

agent_toolkits.github.toolkit.UpdateFile

Schema for operations that require a file path and content as input.

agent_toolkits.gitlab.toolkit.GitLabToolkit

GitLab Toolkit.

agent_toolkits.gmail.toolkit.GmailToolkit

Toolkit for interacting with Gmail.

agent_toolkits.jira.toolkit.JiraToolkit

Jira Toolkit.

agent_toolkits.json.toolkit.JsonToolkit

Toolkit for interacting with a JSON spec.

agent_toolkits.multion.toolkit.MultionToolkit

Toolkit for interacting with the Browser Agent.

agent_toolkits.nasa.toolkit.NasaToolkit

Nasa Toolkit.

agent_toolkits.nla.tool.NLATool

Natural Language API Tool.

agent_toolkits.nla.toolkit.NLAToolkit

Natural Language API Toolkit.

agent_toolkits.office365.toolkit.O365Toolkit

Toolkit for interacting with Office 365.

agent_toolkits.openapi.planner.RequestsDeleteToolWithParsing

Tool that sends a DELETE request and parses the response.

agent_toolkits.openapi.planner.RequestsGetToolWithParsing

Requests GET tool with LLM-instructed extraction of truncated responses.

agent_toolkits.openapi.planner.RequestsPatchToolWithParsing

Requests PATCH tool with LLM-instructed extraction of truncated responses.

agent_toolkits.openapi.planner.RequestsPostToolWithParsing

Requests POST tool with LLM-instructed extraction of truncated responses.

agent_toolkits.openapi.planner.RequestsPutToolWithParsing

Requests PUT tool with LLM-instructed extraction of truncated responses.

agent_toolkits.openapi.spec.ReducedOpenAPISpec(...)

A reduced OpenAPI spec.

agent_toolkits.openapi.toolkit.OpenAPIToolkit

Toolkit for interacting with an OpenAPI API.

agent_toolkits.openapi.toolkit.RequestsToolkit

Toolkit for making REST requests.

agent_toolkits.playwright.toolkit.PlayWrightBrowserToolkit

Toolkit for PlayWright browser tools.

agent_toolkits.polygon.toolkit.PolygonToolkit

Polygon Toolkit.

agent_toolkits.powerbi.toolkit.PowerBIToolkit

Toolkit for interacting with Power BI dataset.

agent_toolkits.slack.toolkit.SlackToolkit

Toolkit for interacting with Slack.

agent_toolkits.spark_sql.toolkit.SparkSQLToolkit

Toolkit for interacting with Spark SQL.

agent_toolkits.sql.toolkit.SQLDatabaseToolkit

Toolkit for interacting with SQL databases.

agent_toolkits.steam.toolkit.SteamToolkit

Steam Toolkit.

agent_toolkits.zapier.toolkit.ZapierToolkit

Zapier Toolkit.

Functions¶

agent_toolkits.json.base.create_json_agent(...)

Construct a json agent from an LLM and tools.

agent_toolkits.load_tools.get_all_tool_names()

Get a list of all possible tool names.

agent_toolkits.load_tools.load_huggingface_tool(...)

Loads a tool from the HuggingFace Hub.

agent_toolkits.load_tools.load_tools(tool_names)

Load tools based on their name.

agent_toolkits.openapi.base.create_openapi_agent(...)

Construct an OpenAPI agent from an LLM and tools.

agent_toolkits.openapi.planner.create_openapi_agent(...)

Construct an OpenAI API planner and controller for a given spec.

agent_toolkits.openapi.spec.reduce_openapi_spec(spec)

Simplify/distill/minify a spec somehow.

agent_toolkits.powerbi.base.create_pbi_agent(llm)

Construct a Power BI agent from an LLM and tools.

agent_toolkits.powerbi.chat_base.create_pbi_chat_agent(llm)

Construct a Power BI agent from a Chat LLM and tools.

agent_toolkits.spark_sql.base.create_spark_sql_agent(...)

Construct a Spark SQL agent from an LLM and tools.

agent_toolkits.sql.base.create_sql_agent(llm)

Construct a SQL agent from an LLM and toolkit or database.

langchain_community.agents¶

Classes¶

agents.openai_assistant.base.OpenAIAssistantV2Runnable

[Beta] Run an OpenAI Assistant.

langchain_community.cache¶

Warning

Beta Feature!

Cache provides an optional caching layer for LLMs.

Cache is useful for two reasons:

  • It can save you money by reducing the number of API calls you make to the LLM provider if you‚Äôre often requesting the same completion multiple times.

  • It can speed up your application by reducing the number of API calls you make to the LLM provider.

Cache directly competes with Memory. See documentation for Pros and Cons.

Class hierarchy:

BaseCache --> <name>Cache  # Examples: InMemoryCache, RedisCache, GPTCache

Classes¶

cache.AstraDBCache(*[, collection_name, ...])

[Deprecated]

cache.AstraDBSemanticCache(*[, ...])

[Deprecated]

cache.AsyncRedisCache(redis_, *[, ttl])

Cache that uses Redis as a backend.

cache.AzureCosmosDBSemanticCache(...[, ...])

Cache that uses Cosmos DB Mongo vCore vector-store backend

cache.CassandraCache([session, keyspace, ...])

Cache that uses Cassandra / Astra DB as a backend.

cache.CassandraSemanticCache([session, ...])

Cache that uses Cassandra as a vector-store backend for semantic (i.e.

cache.FullLLMCache(**kwargs)

SQLite table for full LLM Cache (all generations).

cache.FullMd5LLMCache(**kwargs)

SQLite table for full LLM Cache (all generations).

cache.GPTCache([init_func])

Cache that uses GPTCache as a backend.

cache.InMemoryCache()

Cache that stores things in memory.

cache.MomentoCache(cache_client, cache_name, *)

Cache that uses Momento as a backend.

cache.OpenSearchSemanticCache(...[, ...])

Cache that uses OpenSearch vector store backend

cache.RedisCache(redis_, *[, ttl])

Cache that uses Redis as a backend.

cache.RedisSemanticCache(redis_url, embedding)

Cache that uses Redis as a vector-store backend.

cache.SQLAlchemyCache(engine, cache_schema)

Cache that uses SQAlchemy as a backend.

cache.SQLAlchemyMd5Cache(engine, cache_schema)

Cache that uses SQAlchemy as a backend.

cache.SQLiteCache([database_path])

Cache that uses SQLite as a backend.

cache.UpstashRedisCache(redis_, *[, ttl])

Cache that uses Upstash Redis as a backend.

langchain_community.callbacks¶

Callback handlers allow listening to events in LangChain.

Class hierarchy:

BaseCallbackHandler --> <name>CallbackHandler  # Example: AimCallbackHandler

Classes¶

callbacks.aim_callback.AimCallbackHandler([...])

Callback Handler that logs to Aim.

callbacks.aim_callback.BaseMetadataCallbackHandler()

Callback handler for the metadata and associated function states for callbacks.

callbacks.argilla_callback.ArgillaCallbackHandler(...)

Callback Handler that logs into Argilla.

callbacks.arize_callback.ArizeCallbackHandler([...])

Callback Handler that logs to Arize.

callbacks.arthur_callback.ArthurCallbackHandler(...)

Callback Handler that logs to Arthur platform.

callbacks.bedrock_anthropic_callback.BedrockAnthropicTokenUsageCallbackHandler()

Callback Handler that tracks bedrock anthropic info.

callbacks.clearml_callback.ClearMLCallbackHandler([...])

Callback Handler that logs to ClearML.

callbacks.comet_ml_callback.CometCallbackHandler([...])

Callback Handler that logs to Comet.

callbacks.confident_callback.DeepEvalCallbackHandler(metrics)

Callback Handler that logs into deepeval.

callbacks.context_callback.ContextCallbackHandler([...])

Callback Handler that records transcripts to the Context service.

callbacks.fiddler_callback.FiddlerCallbackHandler(...)

Initialize Fiddler callback handler.

callbacks.flyte_callback.FlyteCallbackHandler()

Callback handler that is used within a Flyte task.

callbacks.human.AsyncHumanApprovalCallbackHandler(...)

Asynchronous callback for manually validating values.

callbacks.human.HumanApprovalCallbackHandler(...)

Callback for manually validating values.

callbacks.human.HumanRejectedException

Exception to raise when a person manually review and rejects a value.

callbacks.infino_callback.InfinoCallbackHandler([...])

Callback Handler that logs to Infino.

callbacks.labelstudio_callback.LabelStudioCallbackHandler([...])

Label Studio callback handler.

callbacks.labelstudio_callback.LabelStudioMode(value)

Label Studio mode enumerator.

callbacks.llmonitor_callback.LLMonitorCallbackHandler([...])

Callback Handler for LLMonitor`.

callbacks.llmonitor_callback.UserContextManager(user_id)

Context manager for LLMonitor user context.

callbacks.mlflow_callback.MlflowCallbackHandler([...])

Callback Handler that logs metrics and artifacts to mlflow server.

callbacks.mlflow_callback.MlflowLogger(**kwargs)

Callback Handler that logs metrics and artifacts to mlflow server.

callbacks.openai_info.OpenAICallbackHandler()

Callback Handler that tracks OpenAI info.

callbacks.promptlayer_callback.PromptLayerCallbackHandler([...])

Callback handler for promptlayer.

callbacks.sagemaker_callback.SageMakerCallbackHandler(run)

Callback Handler that logs prompt artifacts and metrics to SageMaker Experiments.

callbacks.streamlit.mutable_expander.ChildRecord(...)

Child record as a NamedTuple.

callbacks.streamlit.mutable_expander.ChildType(value)

Enumerator of the child type.

callbacks.streamlit.mutable_expander.MutableExpander(...)

Streamlit expander that can be renamed and dynamically expanded/collapsed.

callbacks.streamlit.streamlit_callback_handler.LLMThought(...)

A thought in the LLM's thought stream.

callbacks.streamlit.streamlit_callback_handler.LLMThoughtLabeler()

Generates markdown labels for LLMThought containers.

callbacks.streamlit.streamlit_callback_handler.LLMThoughtState(value)

Enumerator of the LLMThought state.

callbacks.streamlit.streamlit_callback_handler.StreamlitCallbackHandler(...)

Callback handler that writes to a Streamlit app.

callbacks.streamlit.streamlit_callback_handler.ToolRecord(...)

Tool record as a NamedTuple.

callbacks.tracers.comet.CometTracer(**kwargs)

Comet Tracer.

callbacks.tracers.wandb.WandbRunArgs

Arguments for the WandbTracer.

callbacks.tracers.wandb.WandbTracer(...)

Callback Handler that logs to Weights and Biases.

callbacks.trubrics_callback.TrubricsCallbackHandler([...])

Callback handler for Trubrics.

callbacks.upstash_ratelimit_callback.UpstashRatelimitError(...)

Upstash Ratelimit Error

callbacks.upstash_ratelimit_callback.UpstashRatelimitHandler(...)

Callback to handle rate limiting based on the number of requests or the number of tokens in the input.

callbacks.uptrain_callback.UpTrainCallbackHandler(*)

Callback Handler that logs evaluation results to uptrain and the console.

callbacks.uptrain_callback.UpTrainDataSchema(...)

The UpTrain data schema for tracking evaluation results.

callbacks.utils.BaseMetadataCallbackHandler()

Handle the metadata and associated function states for callbacks.

callbacks.wandb_callback.WandbCallbackHandler([...])

Callback Handler that logs to Weights and Biases.

callbacks.whylabs_callback.WhyLabsCallbackHandler(...)

Callback Handler for logging to WhyLabs.

Functions¶

callbacks.aim_callback.import_aim()

Import the aim python package and raise an error if it is not installed.

callbacks.clearml_callback.import_clearml()

Import the clearml python package and raise an error if it is not installed.

callbacks.comet_ml_callback.import_comet_ml()

Import comet_ml and raise an error if it is not installed.

callbacks.context_callback.import_context()

Import the getcontext package.

callbacks.fiddler_callback.import_fiddler()

Import the fiddler python package and raise an error if it is not installed.

callbacks.flyte_callback.analyze_text(text)

Analyze text using textstat and spacy.

callbacks.flyte_callback.import_flytekit()

Import flytekit and flytekitplugins-deck-standard.

callbacks.infino_callback.get_num_tokens(...)

Calculate num tokens for OpenAI with tiktoken package.

callbacks.infino_callback.import_infino()

Import the infino client.

callbacks.infino_callback.import_tiktoken()

Import tiktoken for counting tokens for OpenAI models.

callbacks.labelstudio_callback.get_default_label_configs(mode)

Get default Label Studio configs for the given mode.

callbacks.llmonitor_callback.identify(user_id)

Builds an LLMonitor UserContextManager

callbacks.manager.get_bedrock_anthropic_callback()

Get the Bedrock anthropic callback handler in a context manager.

callbacks.manager.get_openai_callback()

Get the OpenAI callback handler in a context manager.

callbacks.manager.wandb_tracing_enabled([...])

Get the WandbTracer in a context manager.

callbacks.mlflow_callback.analyze_text(text)

Analyze text using textstat and spacy.

callbacks.mlflow_callback.construct_html_from_prompt_and_generation(...)

Construct an html element from a prompt and a generation.

callbacks.mlflow_callback.get_text_complexity_metrics()

Get the text complexity metrics from textstat.

callbacks.mlflow_callback.import_mlflow()

Import the mlflow python package and raise an error if it is not installed.

callbacks.mlflow_callback.mlflow_callback_metrics()

Get the metrics to log to MLFlow.

callbacks.openai_info.get_openai_token_cost_for_model(...)

Get the cost in USD for a given model and number of tokens.

callbacks.openai_info.standardize_model_name(...)

Standardize the model name to a format that can be used in the OpenAI API.

callbacks.sagemaker_callback.save_json(data, ...)

Save dict to local file path.

callbacks.tracers.comet.import_comet_llm_api()

Import comet_llm api and raise an error if it is not installed.

callbacks.tracers.wandb.build_tree(runs)

Builds a nested dictionary from a list of runs. :param runs: The list of runs to build the tree from. :return: The nested dictionary representing the langchain Run in a tree structure compatible with WBTraceTree.

callbacks.tracers.wandb.flatten_run(run)

Utility to flatten a nest run object into a list of runs.

callbacks.tracers.wandb.modify_serialized_iterative(runs)

Utility to modify the serialized field of a list of runs dictionaries. removes any keys that match the exact_keys and any keys that contain any of the partial_keys. recursively moves the dictionaries under the kwargs key to the top level. changes the "id" field to a string "_kind" field that tells WBTraceTree how to visualize the run. promotes the "serialized" field to the top level. :param runs: The list of runs to modify. :param exact_keys: A tuple of keys to remove from the serialized field. :param partial_keys: A tuple of partial keys to remove from the serialized field. :return: The modified list of runs.

callbacks.tracers.wandb.truncate_run_iterative(runs)

Utility to truncate a list of runs dictionaries to only keep the specified

callbacks.uptrain_callback.import_uptrain()

Import the uptrain package.

callbacks.utils.flatten_dict(nested_dict[, ...])

Flatten a nested dictionary into a flat dictionary.

callbacks.utils.hash_string(s)

Hash a string using sha1.

callbacks.utils.import_pandas()

Import the pandas python package and raise an error if it is not installed.

callbacks.utils.import_spacy()

Import the spacy python package and raise an error if it is not installed.

callbacks.utils.import_textstat()

Import the textstat python package and raise an error if it is not installed.

callbacks.utils.load_json(json_path)

Load json file to a string.

callbacks.wandb_callback.analyze_text(text)

Analyze text using textstat and spacy.

callbacks.wandb_callback.construct_html_from_prompt_and_generation(...)

Construct an html element from a prompt and a generation.

callbacks.wandb_callback.import_wandb()

Import the wandb python package and raise an error if it is not installed.

callbacks.wandb_callback.load_json_to_dict(...)

Load json file to a dictionary.

callbacks.whylabs_callback.import_langkit([...])

Import the langkit python package and raise an error if it is not installed.

langchain_community.chains¶

Chains module for langchain_community

This module contains the community chains.

Classes¶

chains.graph_qa.arangodb.ArangoGraphQAChain

Chain for question-answering against a graph by generating AQL statements.

chains.graph_qa.base.GraphQAChain

Chain for question-answering against a graph.

chains.graph_qa.cypher.GraphCypherQAChain

Chain for question-answering against a graph by generating Cypher statements.

chains.graph_qa.cypher_utils.CypherQueryCorrector(schemas)

Used to correct relationship direction in generated Cypher statements.

chains.graph_qa.cypher_utils.Schema(...)

Create new instance of Schema(left_node, relation, right_node)

chains.graph_qa.falkordb.FalkorDBQAChain

Chain for question-answering against a graph by generating Cypher statements.

chains.graph_qa.gremlin.GremlinQAChain

Chain for question-answering against a graph by generating gremlin statements.

chains.graph_qa.hugegraph.HugeGraphQAChain

Chain for question-answering against a graph by generating gremlin statements.

chains.graph_qa.kuzu.KuzuQAChain

Question-answering against a graph by generating Cypher statements for K√Ļzu.

chains.graph_qa.nebulagraph.NebulaGraphQAChain

Chain for question-answering against a graph by generating nGQL statements.

chains.graph_qa.neptune_cypher.NeptuneOpenCypherQAChain

Chain for question-answering against a Neptune graph by generating openCypher statements.

chains.graph_qa.neptune_sparql.NeptuneSparqlQAChain

Chain for question-answering against a Neptune graph by generating SPARQL statements.

chains.graph_qa.ontotext_graphdb.OntotextGraphDBQAChain

Question-answering against Ontotext GraphDB

chains.graph_qa.sparql.GraphSparqlQAChain

Question-answering against an RDF or OWL graph by generating SPARQL statements.

chains.llm_requests.LLMRequestsChain

Chain that requests a URL and then uses an LLM to parse results.

chains.openapi.chain.OpenAPIEndpointChain

Chain interacts with an OpenAPI endpoint using natural language.

chains.openapi.requests_chain.APIRequesterChain

Get the request parser.

chains.openapi.requests_chain.APIRequesterOutputParser

Parse the request and error tags.

chains.openapi.response_chain.APIResponderChain

Get the response parser.

chains.openapi.response_chain.APIResponderOutputParser

Parse the response and error tags.

chains.pebblo_retrieval.base.PebbloRetrievalQA

Retrieval Chain with Identity & Semantic Enforcement for question-answering against a vector database.

chains.pebblo_retrieval.models.App

Create a new model by parsing and validating input data from keyword arguments.

chains.pebblo_retrieval.models.AuthContext

Class for an authorization context.

chains.pebblo_retrieval.models.ChainInput

Input for PebbloRetrievalQA chain.

chains.pebblo_retrieval.models.Chains

Create a new model by parsing and validating input data from keyword arguments.

chains.pebblo_retrieval.models.Context

Create a new model by parsing and validating input data from keyword arguments.

chains.pebblo_retrieval.models.Framework

Langchain framework details

chains.pebblo_retrieval.models.Model

Create a new model by parsing and validating input data from keyword arguments.

chains.pebblo_retrieval.models.PkgInfo

Create a new model by parsing and validating input data from keyword arguments.

chains.pebblo_retrieval.models.Prompt

Create a new model by parsing and validating input data from keyword arguments.

chains.pebblo_retrieval.models.Qa

Create a new model by parsing and validating input data from keyword arguments.

chains.pebblo_retrieval.models.Runtime

OS, language details

chains.pebblo_retrieval.models.SemanticContext

Class for a semantic context.

chains.pebblo_retrieval.models.SemanticEntities

Class for a semantic entity filter.

chains.pebblo_retrieval.models.SemanticTopics

Class for a semantic topic filter.

chains.pebblo_retrieval.models.VectorDB

Create a new model by parsing and validating input data from keyword arguments.

Functions¶

chains.ernie_functions.base.convert_python_function_to_ernie_function(...)

Convert a Python function to an Ernie function-calling API compatible dict.

chains.ernie_functions.base.convert_to_ernie_function(...)

Convert a raw function/class to an Ernie function.

chains.ernie_functions.base.create_ernie_fn_chain(...)

[Legacy] Create an LLM chain that uses Ernie functions.

chains.ernie_functions.base.create_ernie_fn_runnable(...)

Create a runnable sequence that uses Ernie functions.

chains.ernie_functions.base.create_structured_output_chain(...)

[Legacy] Create an LLMChain that uses an Ernie function to get a structured output.

chains.ernie_functions.base.create_structured_output_runnable(...)

Create a runnable that uses an Ernie function to get a structured output.

chains.ernie_functions.base.get_ernie_output_parser(...)

Get the appropriate function output parser given the user functions.

chains.graph_qa.cypher.construct_schema(...)

Filter the schema based on included or excluded types

chains.graph_qa.cypher.extract_cypher(text)

Extract Cypher code from a text.

chains.graph_qa.cypher.get_function_response(...)

chains.graph_qa.falkordb.extract_cypher(text)

Extract Cypher code from a text.

chains.graph_qa.gremlin.extract_gremlin(text)

Extract Gremlin code from a text.

chains.graph_qa.kuzu.extract_cypher(text)

Extract Cypher code from a text.

chains.graph_qa.kuzu.remove_prefix(text, prefix)

Remove a prefix from a text.

chains.graph_qa.neptune_cypher.extract_cypher(text)

Extract Cypher code from text using Regex.

chains.graph_qa.neptune_cypher.trim_query(query)

Trim the query to only include Cypher keywords.

chains.graph_qa.neptune_cypher.use_simple_prompt(llm)

Decides whether to use the simple prompt

chains.graph_qa.neptune_sparql.extract_sparql(query)

Extract SPARQL code from a text.

chains.pebblo_retrieval.enforcement_filters.set_enforcement_filters(...)

Set identity and semantic enforcement filters in the retriever.

chains.pebblo_retrieval.utilities.get_ip()

Fetch local runtime ip address.

chains.pebblo_retrieval.utilities.get_runtime()

Fetch the current Framework and Runtime details.

langchain_community.chat_loaders¶

Chat Loaders load chat messages from common communications platforms.

Load chat messages from various communications platforms such as Facebook Messenger, Telegram, and WhatsApp. The loaded chat messages can be used for fine-tuning models.

Class hierarchy:

BaseChatLoader --> <name>ChatLoader  # Examples: WhatsAppChatLoader, IMessageChatLoader

Main helpers:

ChatSession

Classes¶

chat_loaders.facebook_messenger.FolderFacebookMessengerChatLoader(path)

Load Facebook Messenger chat data from a folder.

chat_loaders.facebook_messenger.SingleFileFacebookMessengerChatLoader(path)

Load Facebook Messenger chat data from a single file.

chat_loaders.gmail.GMailLoader(creds[, n, ...])

[Deprecated] Load data from GMail.

chat_loaders.imessage.IMessageChatLoader([path])

Load chat sessions from the iMessage chat.db SQLite file.

chat_loaders.langsmith.LangSmithDatasetChatLoader(*, ...)

Load chat sessions from a LangSmith dataset with the "chat" data type.

chat_loaders.langsmith.LangSmithRunChatLoader(runs)

Load chat sessions from a list of LangSmith "llm" runs.

chat_loaders.slack.SlackChatLoader(path)

Load Slack conversations from a dump zip file.

chat_loaders.telegram.TelegramChatLoader(path)

Load telegram conversations to LangChain chat messages.

chat_loaders.whatsapp.WhatsAppChatLoader(path)

Load WhatsApp conversations from a dump zip file or directory.

Functions¶

chat_loaders.imessage.nanoseconds_from_2001_to_datetime(...)

Convert nanoseconds since 2001 to a datetime object.

chat_loaders.utils.map_ai_messages(...)

Convert messages from the specified 'sender' to AI messages.

chat_loaders.utils.map_ai_messages_in_session(...)

Convert messages from the specified 'sender' to AI messages.

chat_loaders.utils.merge_chat_runs(chat_sessions)

Merge chat runs together.

chat_loaders.utils.merge_chat_runs_in_session(...)

Merge chat runs together in a chat session.

langchain_community.chat_message_histories¶

Chat message history stores a history of the message interactions in a chat.

Class hierarchy:

BaseChatMessageHistory --> <name>ChatMessageHistory  # Examples: FileChatMessageHistory, PostgresChatMessageHistory

Main helpers:

AIMessage, HumanMessage, BaseMessage

Classes¶

chat_message_histories.astradb.AstraDBChatMessageHistory(*, ...)

[Deprecated]

chat_message_histories.cassandra.CassandraChatMessageHistory(...)

Chat message history that stores history in Cassandra.

chat_message_histories.cosmos_db.CosmosDBChatMessageHistory(...)

Chat message history backed by Azure CosmosDB.

chat_message_histories.dynamodb.DynamoDBChatMessageHistory(...)

Chat message history that stores history in AWS DynamoDB.

chat_message_histories.elasticsearch.ElasticsearchChatMessageHistory(...)

[Deprecated] Chat message history that stores history in Elasticsearch.

chat_message_histories.file.FileChatMessageHistory(...)

Chat message history that stores history in a local file.

chat_message_histories.firestore.FirestoreChatMessageHistory(...)

Chat message history backed by Google Firestore.

chat_message_histories.kafka.ConsumeStartPosition(value)

Consume start position for Kafka consumer to get chat history messages.

chat_message_histories.kafka.KafkaChatMessageHistory(...)

Chat message history stored in Kafka.

chat_message_histories.momento.MomentoChatMessageHistory(...)

Chat message history cache that uses Momento as a backend.

chat_message_histories.mongodb.MongoDBChatMessageHistory(...)

[Deprecated] Chat message history that stores history in MongoDB.

chat_message_histories.neo4j.Neo4jChatMessageHistory(...)

Chat message history stored in a Neo4j database.

chat_message_histories.postgres.PostgresChatMessageHistory(...)

[Deprecated] Chat message history stored in a Postgres database.

chat_message_histories.redis.RedisChatMessageHistory(...)

Chat message history stored in a Redis database.

chat_message_histories.rocksetdb.RocksetChatMessageHistory(...)

Uses Rockset to store chat messages.

chat_message_histories.singlestoredb.SingleStoreDBChatMessageHistory(...)

Chat message history stored in a SingleStoreDB database.

chat_message_histories.sql.BaseMessageConverter()

Convert BaseMessage to the SQLAlchemy model.

chat_message_histories.sql.DefaultMessageConverter(...)

The default message converter for SQLChatMessageHistory.

chat_message_histories.sql.SQLChatMessageHistory(...)

Chat message history stored in an SQL database.

chat_message_histories.streamlit.StreamlitChatMessageHistory([key])

Chat message history that stores messages in Streamlit session state.

chat_message_histories.tidb.TiDBChatMessageHistory(...)

Represents a chat message history stored in a TiDB database.

chat_message_histories.upstash_redis.UpstashRedisChatMessageHistory(...)

Chat message history stored in an Upstash Redis database.

chat_message_histories.xata.XataChatMessageHistory(...)

Chat message history stored in a Xata database.

chat_message_histories.zep.SearchScope(value)

Scope for the document search.

chat_message_histories.zep.SearchType(value)

Enumerator of the types of search to perform.

chat_message_histories.zep.ZepChatMessageHistory(...)

Chat message history that uses Zep as a backend.

chat_message_histories.zep_cloud.ZepCloudChatMessageHistory(...)

Chat message history that uses Zep Cloud as a backend.

Functions¶

chat_message_histories.kafka.ensure_topic_exists(...)

Create topic if it doesn't exist, and return the number of partitions.

chat_message_histories.sql.create_message_model(...)

Create a message model for a given table name.

chat_message_histories.zep_cloud.condense_zep_memory_into_human_message(...)

Condense Zep memory into a human message.

chat_message_histories.zep_cloud.get_zep_message_role_type(role)

Get the Zep role type from the role string.

langchain_community.chat_models¶

Chat Models are a variation on language models.

While Chat Models use language models under the hood, the interface they expose is a bit different. Rather than expose a ‚Äútext in, text out‚ÄĚ API, they expose an interface where ‚Äúchat messages‚ÄĚ are the inputs and outputs.

Class hierarchy:

BaseLanguageModel --> BaseChatModel --> <name>  # Examples: ChatOpenAI, ChatGooglePalm

Main helpers:

AIMessage, BaseMessage, HumanMessage

Classes¶

chat_models.anthropic.ChatAnthropic

[Deprecated] Anthropic chat large language models.

chat_models.anyscale.ChatAnyscale

Anyscale Chat large language models.

chat_models.azure_openai.AzureChatOpenAI

[Deprecated] Azure OpenAI Chat Completion API.

chat_models.azureml_endpoint.AzureMLChatOnlineEndpoint

Azure ML Online Endpoint chat models.

chat_models.azureml_endpoint.CustomOpenAIChatContentFormatter()

Chat Content formatter for models with OpenAI like API scheme.

chat_models.azureml_endpoint.LlamaChatContentFormatter()

Deprecated: Kept for backwards compatibility

chat_models.azureml_endpoint.LlamaContentFormatter()

Content formatter for LLaMA.

chat_models.azureml_endpoint.MistralChatContentFormatter()

Content formatter for Mistral.

chat_models.baichuan.ChatBaichuan

Baichuan chat models API by Baichuan Intelligent Technology.

chat_models.baidu_qianfan_endpoint.QianfanChatEndpoint

Baidu Qianfan chat model integration.

chat_models.bedrock.BedrockChat

[Deprecated] Chat model that uses the Bedrock API.

chat_models.bedrock.ChatPromptAdapter()

Adapter class to prepare the inputs from Langchain to prompt format that Chat model expects.

chat_models.cohere.ChatCohere

[Deprecated] Cohere chat large language models.

chat_models.coze.ChatCoze

ChatCoze chat models API by coze.com

chat_models.dappier.ChatDappierAI

Dappier chat large language models.

chat_models.databricks.ChatDatabricks

Databricks chat models API.

chat_models.deepinfra.ChatDeepInfra

A chat model that uses the DeepInfra API.

chat_models.deepinfra.ChatDeepInfraException

Exception raised when the DeepInfra API returns an error.

chat_models.edenai.ChatEdenAI

EdenAI chat large language models.

chat_models.ernie.ErnieBotChat

[Deprecated] ERNIE-Bot large language model.

chat_models.everlyai.ChatEverlyAI

EverlyAI Chat large language models.

chat_models.fake.FakeListChatModel

Fake ChatModel for testing purposes.

chat_models.fake.FakeMessagesListChatModel

Fake ChatModel for testing purposes.

chat_models.fireworks.ChatFireworks

[Deprecated] Fireworks Chat models.

chat_models.friendli.ChatFriendli

Friendli LLM for chat.

chat_models.gigachat.GigaChat

GigaChat large language models API.

chat_models.google_palm.ChatGooglePalm

Google PaLM Chat models API.

chat_models.google_palm.ChatGooglePalmError

Error with the Google PaLM API.

chat_models.gpt_router.GPTRouter

GPTRouter by Writesonic Inc.

chat_models.gpt_router.GPTRouterException

Error with the GPTRouter APIs

chat_models.gpt_router.GPTRouterModel

GPTRouter model.

chat_models.huggingface.ChatHuggingFace

[Deprecated] Wrapper for using Hugging Face LLM's as ChatModels.

chat_models.human.HumanInputChatModel

ChatModel which returns user input as the response.

chat_models.hunyuan.ChatHunyuan

Tencent Hunyuan chat models API by Tencent.

chat_models.javelin_ai_gateway.ChatJavelinAIGateway

Javelin AI Gateway chat models API.

chat_models.javelin_ai_gateway.ChatParams

Parameters for the Javelin AI Gateway LLM.

chat_models.jinachat.JinaChat

Jina AI Chat models API.

chat_models.kinetica.ChatKinetica

Kinetica LLM Chat Model API.

chat_models.kinetica.KineticaSqlOutputParser

Fetch and return data from the Kinetica LLM.

chat_models.kinetica.KineticaSqlResponse

Response containing SQL and the fetched data.

chat_models.kinetica.KineticaUtil()

Kinetica utility functions.

chat_models.konko.ChatKonko

ChatKonko Chat large language models API.

chat_models.litellm.ChatLiteLLM

Chat model that uses the LiteLLM API.

chat_models.litellm.ChatLiteLLMException

Error with the LiteLLM I/O library

chat_models.litellm_router.ChatLiteLLMRouter

LiteLLM Router as LangChain Model.

chat_models.llama_edge.LlamaEdgeChatService

Chat with LLMs via llama-api-server

chat_models.llamacpp.ChatLlamaCpp

llama.cpp model.

chat_models.maritalk.ChatMaritalk

MariTalk Chat models API.

chat_models.maritalk.MaritalkHTTPError(...)

Initialize RequestException with request and response objects.

chat_models.minimax.MiniMaxChat

MiniMax large language models.

chat_models.mlflow.ChatMlflow

MLflow chat models API.

chat_models.mlflow_ai_gateway.ChatMLflowAIGateway

MLflow AI Gateway chat models API.

chat_models.mlflow_ai_gateway.ChatParams

Parameters for the MLflow AI Gateway LLM.

chat_models.mlx.ChatMLX

MLX chat models.

chat_models.moonshot.MoonshotChat

Moonshot large language models.

chat_models.oci_generative_ai.ChatOCIGenAI

ChatOCIGenAI chat model integration.

chat_models.oci_generative_ai.CohereProvider()

chat_models.oci_generative_ai.MetaProvider()

chat_models.oci_generative_ai.Provider()

chat_models.octoai.ChatOctoAI

OctoAI Chat large language models.

chat_models.ollama.ChatOllama

Ollama locally runs large language models.

chat_models.openai.ChatOpenAI

[Deprecated] OpenAI Chat large language models API.

chat_models.pai_eas_endpoint.PaiEasChatEndpoint

Alibaba Cloud PAI-EAS LLM Service chat model API.

chat_models.perplexity.ChatPerplexity

Perplexity AI Chat models API.

chat_models.premai.ChatPremAI

PremAI Chat models.

chat_models.premai.ChatPremAPIError

Error with the PremAI API.

chat_models.promptlayer_openai.PromptLayerChatOpenAI

PromptLayer and OpenAI Chat large language models API.

chat_models.snowflake.ChatSnowflakeCortex

Snowflake Cortex based Chat model

chat_models.snowflake.ChatSnowflakeCortexError

Error with Snowpark client.

chat_models.solar.SolarChat

[Deprecated] Wrapper around Solar large language models.

chat_models.sparkllm.ChatSparkLLM

iFlyTek Spark large language model.

chat_models.tongyi.ChatTongyi

Alibaba Tongyi Qwen chat models API.

chat_models.vertexai.ChatVertexAI

[Deprecated] Vertex AI Chat large language models API.

chat_models.volcengine_maas.VolcEngineMaasChat

Volc Engine Maas hosts a plethora of models.

chat_models.yandex.ChatYandexGPT

YandexGPT large language models.

chat_models.yuan2.ChatYuan2

Yuan2.0 Chat models API.

chat_models.zhipuai.ChatZhipuAI

ZhipuAI chat model integration.

Functions¶

chat_models.anthropic.convert_messages_to_prompt_anthropic(...)

Format a list of messages into a full prompt for the Anthropic model

chat_models.baidu_qianfan_endpoint.convert_message_to_dict(message)

Convert a message to a dictionary that can be passed to the API.

chat_models.bedrock.convert_messages_to_prompt_mistral(...)

Convert a list of messages to a prompt for mistral.

chat_models.cohere.get_cohere_chat_request(...)

Get the request for the Cohere chat API.

chat_models.cohere.get_role(message)

Get the role of the message.

chat_models.fireworks.acompletion_with_retry(...)

Use tenacity to retry the async completion call.

chat_models.fireworks.acompletion_with_retry_streaming(...)

Use tenacity to retry the completion call for streaming.

chat_models.fireworks.completion_with_retry(...)

Use tenacity to retry the completion call.

chat_models.fireworks.conditional_decorator(...)

Define conditional decorator.

chat_models.fireworks.convert_dict_to_message(_dict)

Convert a dict response to a message.

chat_models.friendli.get_chat_request(messages)

Get a request of the Friendli chat API.

chat_models.friendli.get_role(message)

Get role of the message.

chat_models.google_palm.achat_with_retry(...)

Use tenacity to retry the async completion call.

chat_models.google_palm.chat_with_retry(llm, ...)

Use tenacity to retry the completion call.

chat_models.gpt_router.acompletion_with_retry(...)

Use tenacity to retry the async completion call.

chat_models.gpt_router.completion_with_retry(...)

Use tenacity to retry the completion call.

chat_models.gpt_router.get_ordered_generation_requests(...)

Return the body for the model router input.

chat_models.jinachat.acompletion_with_retry(...)

Use tenacity to retry the async completion call.

chat_models.litellm.acompletion_with_retry(llm)

Use tenacity to retry the async completion call.

chat_models.litellm_router.get_llm_output(...)

Get llm output from usage and params.

chat_models.meta.convert_messages_to_prompt_llama(...)

Convert a list of messages to a prompt for llama.

chat_models.minimax.aconnect_httpx_sse(...)

Async context manager for connecting to an SSE stream.

chat_models.minimax.connect_httpx_sse(...)

Context manager for connecting to an SSE stream.

chat_models.openai.acompletion_with_retry(llm)

Use tenacity to retry the async completion call.

chat_models.premai.chat_with_retry(llm, ...)

Using tenacity for retry in completion call

chat_models.premai.create_prem_retry_decorator(llm, *)

Create a retry decorator for PremAI API errors.

chat_models.tongyi.convert_dict_to_message(_dict)

Convert a dict to a message.

chat_models.tongyi.convert_message_chunk_to_message(...)

Convert a message chunk to a message.

chat_models.tongyi.convert_message_to_dict(message)

Convert a message to a dict.

chat_models.volcengine_maas.convert_dict_to_message(_dict)

Convert a dict to a message.

chat_models.yandex.acompletion_with_retry(...)

Use tenacity to retry the async completion call.

chat_models.yandex.completion_with_retry(...)

Use tenacity to retry the completion call.

chat_models.yuan2.acompletion_with_retry(...)

Use tenacity to retry the async completion call.

chat_models.zhipuai.aconnect_sse(client, ...)

Async context manager for connecting to an SSE stream.

chat_models.zhipuai.connect_sse(client, ...)

Context manager for connecting to an SSE stream.

langchain_community.cross_encoders¶

Cross encoders are wrappers around cross encoder models from different APIs and

services.

Cross encoder models can be LLMs or not.

Class hierarchy:

BaseCrossEncoder --> <name>CrossEncoder  # Examples: SagemakerEndpointCrossEncoder

Classes¶

cross_encoders.fake.FakeCrossEncoder

Fake cross encoder model.

cross_encoders.huggingface.HuggingFaceCrossEncoder

HuggingFace cross encoder models.

cross_encoders.sagemaker_endpoint.CrossEncoderContentHandler()

Content handler for CrossEncoder class.

cross_encoders.sagemaker_endpoint.SagemakerEndpointCrossEncoder

SageMaker Inference CrossEncoder endpoint.

langchain_community.docstore¶

Docstores are classes to store and load Documents.

The Docstore is a simplified version of the Document Loader.

Class hierarchy:

Docstore --> <name> # Examples: InMemoryDocstore, Wikipedia

Main helpers:

Document, AddableMixin

Classes¶

docstore.arbitrary_fn.DocstoreFn(lookup_fn)

Docstore via arbitrary lookup function.

docstore.base.AddableMixin()

Mixin class that supports adding texts.

docstore.base.Docstore()

Interface to access to place that stores documents.

docstore.in_memory.InMemoryDocstore([_dict])

Simple in memory docstore in the form of a dict.

docstore.wikipedia.Wikipedia()

Wikipedia API.

langchain_community.document_compressors¶

Classes¶

document_compressors.dashscope_rerank.DashScopeRerank

Document compressor that uses DashScope Rerank API.

document_compressors.flashrank_rerank.FlashrankRerank

Document compressor using Flashrank interface.

document_compressors.jina_rerank.JinaRerank

Document compressor that uses Jina Rerank API.

document_compressors.llmlingua_filter.LLMLinguaCompressor

Compress using LLMLingua Project.

document_compressors.openvino_rerank.OpenVINOReranker

OpenVINO rerank models.

document_compressors.openvino_rerank.RerankRequest([...])

Request for reranking.

document_compressors.rankllm_rerank.ModelType(value)

An enumeration.

document_compressors.rankllm_rerank.RankLLMRerank

Document compressor using Flashrank interface.

document_compressors.volcengine_rerank.VolcengineRerank

Document compressor that uses Volcengine Rerank API.

langchain_community.document_loaders¶

Document Loaders are classes to load Documents.

Document Loaders are usually used to load a lot of Documents in a single run.

Class hierarchy:

BaseLoader --> <name>Loader  # Examples: TextLoader, UnstructuredFileLoader

Main helpers:

Document, <name>TextSplitter

Classes¶

document_loaders.acreom.AcreomLoader(path[, ...])

Load acreom vault from a directory.

document_loaders.airbyte.AirbyteCDKLoader(...)

Load with an Airbyte source connector implemented using the CDK.

document_loaders.airbyte.AirbyteGongLoader(...)

Load from Gong using an Airbyte source connector.

document_loaders.airbyte.AirbyteHubspotLoader(...)

Load from Hubspot using an Airbyte source connector.

document_loaders.airbyte.AirbyteSalesforceLoader(...)

Load from Salesforce using an Airbyte source connector.

document_loaders.airbyte.AirbyteShopifyLoader(...)

Load from Shopify using an Airbyte source connector.

document_loaders.airbyte.AirbyteStripeLoader(...)

Load from Stripe using an Airbyte source connector.

document_loaders.airbyte.AirbyteTypeformLoader(...)

Load from Typeform using an Airbyte source connector.

document_loaders.airbyte.AirbyteZendeskSupportLoader(...)

Load from Zendesk Support using an Airbyte source connector.

document_loaders.airbyte_json.AirbyteJSONLoader(...)

Load local Airbyte json files.

document_loaders.airtable.AirtableLoader(...)

Load the Airtable tables.

document_loaders.apify_dataset.ApifyDatasetLoader

Load datasets from Apify web scraping, crawling, and data extraction platform.

document_loaders.arcgis_loader.ArcGISLoader(layer)

Load records from an ArcGIS FeatureLayer.

document_loaders.arxiv.ArxivLoader(query[, ...])

Load a query result from Arxiv.

document_loaders.assemblyai.AssemblyAIAudioLoaderById(...)

Load AssemblyAI audio transcripts.

document_loaders.assemblyai.AssemblyAIAudioTranscriptLoader(...)

Load AssemblyAI audio transcripts.

document_loaders.assemblyai.TranscriptFormat(value)

Transcript format to use for the document loader.

document_loaders.astradb.AstraDBLoader(...)

[Deprecated]

document_loaders.async_html.AsyncHtmlLoader(...)

Load HTML asynchronously.

document_loaders.athena.AthenaLoader(query, ...)

Load documents from AWS Athena.

document_loaders.azlyrics.AZLyricsLoader([...])

Load AZLyrics webpages.

document_loaders.azure_ai_data.AzureAIDataLoader(url)

Load from Azure AI Data.

document_loaders.azure_blob_storage_container.AzureBlobStorageContainerLoader(...)

Load from Azure Blob Storage container.

document_loaders.azure_blob_storage_file.AzureBlobStorageFileLoader(...)

Load from Azure Blob Storage files.

document_loaders.baiducloud_bos_directory.BaiduBOSDirectoryLoader(...)

Load from Baidu BOS directory.

document_loaders.baiducloud_bos_file.BaiduBOSFileLoader(...)

Load from Baidu Cloud BOS file.

document_loaders.base_o365.O365BaseLoader

Base class for all loaders that uses O365 Package

document_loaders.bibtex.BibtexLoader(...[, ...])

Load a bibtex file.

document_loaders.bigquery.BigQueryLoader(query)

[Deprecated] Load from the Google Cloud Platform BigQuery.

document_loaders.bilibili.BiliBiliLoader(...)

Load fetching transcripts from BiliBili videos.

document_loaders.blackboard.BlackboardLoader(...)

Load a Blackboard course.

document_loaders.blob_loaders.cloud_blob_loader.CloudBlobLoader(url, *)

Load blobs from cloud URL or file:.

document_loaders.blob_loaders.file_system.FileSystemBlobLoader(path, *)

Load blobs in the local file system.

document_loaders.blob_loaders.youtube_audio.YoutubeAudioLoader(...)

Load YouTube urls as audio file(s).

document_loaders.blockchain.BlockchainDocumentLoader(...)

Load elements from a blockchain smart contract.

document_loaders.blockchain.BlockchainType(value)

Enumerator of the supported blockchains.

document_loaders.brave_search.BraveSearchLoader(...)

Load with Brave Search engine.

document_loaders.browserbase.BrowserbaseLoader(urls)

Load pre-rendered web pages using a headless browser hosted on Browserbase.

document_loaders.browserless.BrowserlessLoader(...)

Load webpages with Browserless /content endpoint.

document_loaders.cassandra.CassandraLoader(...)

Document Loader for Apache Cassandra.

document_loaders.chatgpt.ChatGPTLoader(log_file)

Load conversations from exported ChatGPT data.

document_loaders.chm.CHMParser(path)

Microsoft Compiled HTML Help (CHM) Parser.

document_loaders.chm.UnstructuredCHMLoader(...)

Load CHM files using Unstructured.

document_loaders.chromium.AsyncChromiumLoader(urls, *)

Scrape HTML pages from URLs using a headless instance of the Chromium.

document_loaders.college_confidential.CollegeConfidentialLoader([...])

Load College Confidential webpages.

document_loaders.concurrent.ConcurrentLoader(...)

Load and pars Documents concurrently.

document_loaders.confluence.ConfluenceLoader(url)

Load Confluence pages.

document_loaders.confluence.ContentFormat(value)

Enumerator of the content formats of Confluence page.

document_loaders.conllu.CoNLLULoader(file_path)

Load CoNLL-U files.

document_loaders.couchbase.CouchbaseLoader(...)

Load documents from Couchbase.

document_loaders.csv_loader.CSVLoader(file_path)

Load a CSV file into a list of Documents.

document_loaders.csv_loader.UnstructuredCSVLoader(...)

Load CSV files using Unstructured.

document_loaders.cube_semantic.CubeSemanticLoader(...)

Load Cube semantic layer metadata.

document_loaders.datadog_logs.DatadogLogsLoader(...)

Load Datadog logs.

document_loaders.dataframe.BaseDataFrameLoader(...)

Initialize with dataframe object.

document_loaders.dataframe.DataFrameLoader(...)

Load Pandas DataFrame.

document_loaders.diffbot.DiffbotLoader(...)

Load Diffbot json file.

document_loaders.directory.DirectoryLoader(...)

Load from a directory.

document_loaders.discord.DiscordChatLoader(...)

Load Discord chat logs.

document_loaders.doc_intelligence.AzureAIDocumentIntelligenceLoader(...)

Load a PDF with Azure Document Intelligence.

document_loaders.docugami.DocugamiLoader

[Deprecated] Load from Docugami.

document_loaders.docusaurus.DocusaurusLoader(url)

Load from Docusaurus Documentation.

document_loaders.dropbox.DropboxLoader

Load files from Dropbox.

document_loaders.duckdb_loader.DuckDBLoader(query)

Load from DuckDB.

document_loaders.email.OutlookMessageLoader(...)

Loads Outlook Message files using extract_msg.

document_loaders.email.UnstructuredEmailLoader(...)

Load email files using Unstructured.

document_loaders.epub.UnstructuredEPubLoader(...)

Load EPub files using Unstructured.

document_loaders.etherscan.EtherscanLoader(...)

Load transactions from Ethereum mainnet.

document_loaders.evernote.EverNoteLoader(...)

Load from EverNote.

document_loaders.excel.UnstructuredExcelLoader(...)

Load Microsoft Excel files using Unstructured.

document_loaders.facebook_chat.FacebookChatLoader(path)

Load Facebook Chat messages directory dump.

document_loaders.fauna.FaunaLoader(query, ...)

Load from FaunaDB.

document_loaders.figma.FigmaFileLoader(...)

Load Figma file.

document_loaders.firecrawl.FireCrawlLoader(url, *)

Load web pages as Documents using FireCrawl.

document_loaders.gcs_directory.GCSDirectoryLoader(...)

[Deprecated] Load from GCS directory.

document_loaders.gcs_file.GCSFileLoader(...)

[Deprecated] Load from GCS file.

document_loaders.generic.GenericLoader(...)

Generic Document Loader.

document_loaders.geodataframe.GeoDataFrameLoader(...)

Load geopandas Dataframe.

document_loaders.git.GitLoader(repo_path[, ...])

Load Git repository files.

document_loaders.gitbook.GitbookLoader(web_page)

Load GitBook data.

document_loaders.github.BaseGitHubLoader

Load GitHub repository Issues.

document_loaders.github.GitHubIssuesLoader

Load issues of a GitHub repository.

document_loaders.github.GithubFileLoader

Load GitHub File

document_loaders.glue_catalog.GlueCatalogLoader(...)

Load table schemas from AWS Glue.

document_loaders.google_speech_to_text.GoogleSpeechToTextLoader(...)

[Deprecated] Loader for Google Cloud Speech-to-Text audio transcripts.

document_loaders.googledrive.GoogleDriveLoader

[Deprecated] Load Google Docs from Google Drive.

document_loaders.gutenberg.GutenbergLoader(...)

Load from Gutenberg.org.

document_loaders.helpers.FileEncoding(...)

File encoding as the NamedTuple.

document_loaders.hn.HNLoader([web_path, ...])

Load Hacker News data.

document_loaders.html.UnstructuredHTMLLoader(...)

Load HTML files using Unstructured.

document_loaders.html_bs.BSHTMLLoader(file_path)

Load HTML files and parse them with beautiful soup.

document_loaders.hugging_face_dataset.HuggingFaceDatasetLoader(path)

Load from Hugging Face Hub datasets.

document_loaders.hugging_face_model.HuggingFaceModelLoader(*)

Load model information from Hugging Face Hub, including README content.

document_loaders.ifixit.IFixitLoader(web_path)

Load iFixit repair guides, device wikis and answers.

document_loaders.image.UnstructuredImageLoader(...)

Load PNG and JPG files using Unstructured.

document_loaders.image_captions.ImageCaptionLoader(images)

Load image captions.

document_loaders.imsdb.IMSDbLoader([...])

Load IMSDb webpages.

document_loaders.iugu.IuguLoader(resource[, ...])

Load from IUGU.

document_loaders.joplin.JoplinLoader([...])

Load notes from Joplin.

document_loaders.json_loader.JSONLoader(...)

Load a JSON file using a jq schema.

document_loaders.kinetica_loader.KineticaLoader(...)

Load from Kinetica API.

document_loaders.lakefs.LakeFSClient(...)

Client for lakeFS.

document_loaders.lakefs.LakeFSLoader(...[, ...])

Load from lakeFS.

document_loaders.lakefs.UnstructuredLakeFSLoader(...)

Load from lakeFS as unstructured data.

document_loaders.larksuite.LarkSuiteDocLoader(...)

Load from LarkSuite (FeiShu).

document_loaders.larksuite.LarkSuiteWikiLoader(...)

Load from LarkSuite (FeiShu) wiki.

document_loaders.llmsherpa.LLMSherpaFileLoader(...)

Load Documents using LLMSherpa.

document_loaders.markdown.UnstructuredMarkdownLoader(...)

Load Markdown files using Unstructured.

document_loaders.mastodon.MastodonTootsLoader(...)

Load the Mastodon 'toots'.

document_loaders.max_compute.MaxComputeLoader(...)

Load from Alibaba Cloud MaxCompute table.

document_loaders.mediawikidump.MWDumpLoader(...)

Load MediaWiki dump from an XML file.

document_loaders.merge.MergedDataLoader(loaders)

Merge documents from a list of loaders

document_loaders.mhtml.MHTMLLoader(file_path)

Parse MHTML files with BeautifulSoup.

document_loaders.mintbase.MintbaseDocumentLoader(...)

Load elements from a blockchain smart contract.

document_loaders.modern_treasury.ModernTreasuryLoader(...)

Load from Modern Treasury.

document_loaders.mongodb.MongodbLoader(...)

Load MongoDB documents.

document_loaders.news.NewsURLLoader(urls[, ...])

Load news articles from URLs using Unstructured.

document_loaders.notebook.NotebookLoader(path)

Load Jupyter notebook (.ipynb) files.

document_loaders.notion.NotionDirectoryLoader(path, *)

Load Notion directory dump.

document_loaders.notiondb.NotionDBLoader(...)

Load from Notion DB.

document_loaders.nuclia.NucliaLoader(path, ...)

Load from any file type using Nuclia Understanding API.

document_loaders.obs_directory.OBSDirectoryLoader(...)

Load from Huawei OBS directory.

document_loaders.obs_file.OBSFileLoader(...)

Load from the Huawei OBS file.

document_loaders.obsidian.ObsidianLoader(path)

Load Obsidian files from directory.

document_loaders.odt.UnstructuredODTLoader(...)

Load OpenOffice ODT files using Unstructured.

document_loaders.onedrive.OneDriveLoader

Load from Microsoft OneDrive.

document_loaders.onedrive_file.OneDriveFileLoader

Load a file from Microsoft OneDrive.

document_loaders.onenote.OneNoteLoader

Load pages from OneNote notebooks.

document_loaders.open_city_data.OpenCityDataLoader(...)

Load from Open City.

document_loaders.oracleadb_loader.OracleAutonomousDatabaseLoader(...)

Load from oracle adb

document_loaders.oracleai.OracleDocLoader(...)

Read documents using OracleDocLoader :param conn: Oracle Connection, :param params: Loader parameters.

document_loaders.oracleai.OracleDocReader()

Read a file

document_loaders.oracleai.OracleTextSplitter(...)

Splitting text using Oracle chunker.

document_loaders.oracleai.ParseOracleDocMetadata()

Parse Oracle doc metadata...

document_loaders.org_mode.UnstructuredOrgModeLoader(...)

Load Org-Mode files using Unstructured.

document_loaders.parsers.audio.FasterWhisperParser(*)

Transcribe and parse audio files with faster-whisper.

document_loaders.parsers.audio.OpenAIWhisperParser([...])

Transcribe and parse audio files.

document_loaders.parsers.audio.OpenAIWhisperParserLocal([...])

Transcribe and parse audio files with OpenAI Whisper model.

document_loaders.parsers.audio.YandexSTTParser(*)

Transcribe and parse audio files.

document_loaders.parsers.doc_intelligence.AzureAIDocumentIntelligenceParser(...)

Loads a PDF with Azure Document Intelligence (formerly Forms Recognizer).

document_loaders.parsers.docai.DocAIParser(*)

[Deprecated] Google Cloud Document AI parser.

document_loaders.parsers.docai.DocAIParsingResults(...)

Dataclass to store Document AI parsing results.

document_loaders.parsers.generic.MimeTypeBasedParser(...)

Parser that uses mime-types to parse a blob.

document_loaders.parsers.grobid.GrobidParser(...)

Load article PDF files using Grobid.

document_loaders.parsers.grobid.ServerUnavailableException

Exception raised when the Grobid server is unavailable.

document_loaders.parsers.html.bs4.BS4HTMLParser(*)

Parse HTML files using Beautiful Soup.

document_loaders.parsers.language.c.CSegmenter(code)

Code segmenter for C.

document_loaders.parsers.language.cobol.CobolSegmenter(code)

Code segmenter for COBOL.

document_loaders.parsers.language.code_segmenter.CodeSegmenter(code)

Abstract class for the code segmenter.

document_loaders.parsers.language.cpp.CPPSegmenter(code)

Code segmenter for C++.

document_loaders.parsers.language.csharp.CSharpSegmenter(code)

Code segmenter for C#.

document_loaders.parsers.language.elixir.ElixirSegmenter(code)

Code segmenter for Elixir.

document_loaders.parsers.language.go.GoSegmenter(code)

Code segmenter for Go.

document_loaders.parsers.language.java.JavaSegmenter(code)

Code segmenter for Java.

document_loaders.parsers.language.javascript.JavaScriptSegmenter(code)

Code segmenter for JavaScript.

document_loaders.parsers.language.kotlin.KotlinSegmenter(code)

Code segmenter for Kotlin.

document_loaders.parsers.language.language_parser.LanguageParser([...])

Parse using the respective programming language syntax.

document_loaders.parsers.language.lua.LuaSegmenter(code)

Code segmenter for Lua.

document_loaders.parsers.language.perl.PerlSegmenter(code)

Code segmenter for Perl.

document_loaders.parsers.language.php.PHPSegmenter(code)

Code segmenter for PHP.

document_loaders.parsers.language.python.PythonSegmenter(code)

Code segmenter for Python.

document_loaders.parsers.language.ruby.RubySegmenter(code)

Code segmenter for Ruby.

document_loaders.parsers.language.rust.RustSegmenter(code)

Code segmenter for Rust.

document_loaders.parsers.language.scala.ScalaSegmenter(code)

Code segmenter for Scala.

document_loaders.parsers.language.tree_sitter_segmenter.TreeSitterSegmenter(code)

Abstract class for `CodeSegmenter`s that use the tree-sitter library.

document_loaders.parsers.language.typescript.TypeScriptSegmenter(code)

Code segmenter for TypeScript.

document_loaders.parsers.msword.MsWordParser()

Parse the Microsoft Word documents from a blob.

document_loaders.parsers.pdf.AmazonTextractPDFParser([...])

Send PDF files to Amazon Textract and parse them.

document_loaders.parsers.pdf.DocumentIntelligenceParser(...)

Loads a PDF with Azure Document Intelligence (formerly Form Recognizer) and chunks at character level.

document_loaders.parsers.pdf.PDFMinerParser([...])

Parse PDF using PDFMiner.

document_loaders.parsers.pdf.PDFPlumberParser([...])

Parse PDF with PDFPlumber.

document_loaders.parsers.pdf.PyMuPDFParser([...])

Parse PDF using PyMuPDF.

document_loaders.parsers.pdf.PyPDFParser([...])

Load PDF using pypdf

document_loaders.parsers.pdf.PyPDFium2Parser([...])

Parse PDF with PyPDFium2.

document_loaders.parsers.txt.TextParser()

Parser for text blobs.

document_loaders.parsers.vsdx.VsdxParser()

Parser for vsdx files.

document_loaders.pdf.AmazonTextractPDFLoader(...)

Load PDF files from a local file system, HTTP or S3.

document_loaders.pdf.BasePDFLoader(file_path, *)

Base Loader class for PDF files.

document_loaders.pdf.DocumentIntelligenceLoader(...)

Load a PDF with Azure Document Intelligence

document_loaders.pdf.MathpixPDFLoader(file_path)

Load PDF files using Mathpix service.

document_loaders.pdf.OnlinePDFLoader(...[, ...])

Load online PDF.

document_loaders.pdf.PDFMinerLoader(file_path, *)

Load PDF files using PDFMiner.

document_loaders.pdf.PDFMinerPDFasHTMLLoader(...)

Load PDF files as HTML content using PDFMiner.

document_loaders.pdf.PDFPlumberLoader(file_path)

Load PDF files using pdfplumber.

document_loaders.pdf.PagedPDFSplitter

alias of PyPDFLoader

document_loaders.pdf.PyMuPDFLoader(file_path, *)

Load PDF files using PyMuPDF.

document_loaders.pdf.PyPDFDirectoryLoader(path)

Load a directory with PDF files using pypdf and chunks at character level.

document_loaders.pdf.PyPDFLoader(file_path)

Load PDF using pypdf into list of documents.

document_loaders.pdf.PyPDFium2Loader(...[, ...])

Load PDF using pypdfium2 and chunks at character level.

document_loaders.pdf.UnstructuredPDFLoader(...)

Load PDF files using Unstructured.

document_loaders.pebblo.PebbloSafeLoader(...)

Pebblo Safe Loader class is a wrapper around document loaders enabling the data to be scrutinized.

document_loaders.polars_dataframe.PolarsDataFrameLoader(...)

Load Polars DataFrame.

document_loaders.powerpoint.UnstructuredPowerPointLoader(...)

Load Microsoft PowerPoint files using Unstructured.

document_loaders.psychic.PsychicLoader(...)

Load from Psychic.dev.

document_loaders.pubmed.PubMedLoader(query)

Load from the PubMed biomedical library.

document_loaders.pyspark_dataframe.PySparkDataFrameLoader([...])

Load PySpark DataFrames.

document_loaders.python.PythonLoader(file_path)

Load Python files, respecting any non-default encoding if specified.

document_loaders.quip.QuipLoader(api_url, ...)

Load Quip pages.

document_loaders.readthedocs.ReadTheDocsLoader(path)

Load ReadTheDocs documentation directory.

document_loaders.recursive_url_loader.RecursiveUrlLoader(url)

Recursively load all child links from a root URL.

document_loaders.reddit.RedditPostsLoader(...)

Load Reddit posts.

document_loaders.roam.RoamLoader(path)

Load Roam files from a directory.

document_loaders.rocksetdb.ColumnNotFoundError(...)

Column not found error.

document_loaders.rocksetdb.RocksetLoader(...)

Load from a Rockset database.

document_loaders.rspace.RSpaceLoader(global_id)

Load content from RSpace notebooks, folders, documents or PDF Gallery files.

document_loaders.rss.RSSFeedLoader([urls, ...])

Load news articles from RSS feeds using Unstructured.

document_loaders.rst.UnstructuredRSTLoader(...)

Load RST files using Unstructured.

document_loaders.rtf.UnstructuredRTFLoader(...)

Load RTF files using Unstructured.

document_loaders.s3_directory.S3DirectoryLoader(bucket)

Load from Amazon AWS S3 directory.

document_loaders.s3_file.S3FileLoader(...[, ...])

Load from Amazon AWS S3 file.

document_loaders.scrapfly.ScrapflyLoader(urls, *)

Turn a url to llm accessible markdown with Scrapfly.io.

document_loaders.sharepoint.SharePointLoader

Load from SharePoint.

document_loaders.sitemap.SitemapLoader(web_path)

Load a sitemap and its URLs.

document_loaders.slack_directory.SlackDirectoryLoader(...)

Load from a Slack directory dump.

document_loaders.snowflake_loader.SnowflakeLoader(...)

Load from Snowflake API.

document_loaders.spider.SpiderLoader(url, *)

Load web pages as Documents using Spider AI.

document_loaders.spreedly.SpreedlyLoader(...)

Load from Spreedly API.

document_loaders.sql_database.SQLDatabaseLoader(...)

Load documents by querying database tables supported by SQLAlchemy.

document_loaders.srt.SRTLoader(file_path)

Load .srt (subtitle) files.

document_loaders.stripe.StripeLoader(resource)

Load from Stripe API.

document_loaders.surrealdb.SurrealDBLoader([...])

Load SurrealDB documents.

document_loaders.telegram.TelegramChatApiLoader([...])

Load Telegram chat json directory dump.

document_loaders.telegram.TelegramChatFileLoader(path)

Load from Telegram chat dump.

document_loaders.telegram.TelegramChatLoader

alias of TelegramChatFileLoader

document_loaders.tencent_cos_directory.TencentCOSDirectoryLoader(...)

Load from Tencent Cloud COS directory.

document_loaders.tencent_cos_file.TencentCOSFileLoader(...)

Load from Tencent Cloud COS file.

document_loaders.tensorflow_datasets.TensorflowDatasetLoader(...)

Load from TensorFlow Dataset.

document_loaders.text.TextLoader(file_path)

Load text file.

document_loaders.tidb.TiDBLoader(...[, ...])

Load documents from TiDB.

document_loaders.tomarkdown.ToMarkdownLoader(...)

Load HTML using 2markdown API.

document_loaders.toml.TomlLoader(source)

Load TOML files.

document_loaders.trello.TrelloLoader(client, ...)

Load cards from a Trello board.

document_loaders.tsv.UnstructuredTSVLoader(...)

Load TSV files using Unstructured.

document_loaders.twitter.TwitterTweetLoader(...)

Load Twitter tweets.

document_loaders.unstructured.UnstructuredAPIFileIOLoader(file)

Load files using Unstructured API.

document_loaders.unstructured.UnstructuredAPIFileLoader([...])

Load files using Unstructured API.

document_loaders.unstructured.UnstructuredBaseLoader([...])

Base Loader that uses Unstructured.

document_loaders.unstructured.UnstructuredFileIOLoader(file)

Load files using Unstructured.

document_loaders.unstructured.UnstructuredFileLoader(...)

Load files using Unstructured.

document_loaders.url.UnstructuredURLLoader(urls)

Load files from remote URLs using Unstructured.

document_loaders.url_playwright.PlaywrightEvaluator()

Abstract base class for all evaluators.

document_loaders.url_playwright.PlaywrightURLLoader(urls)

Load HTML pages with Playwright and parse with Unstructured.

document_loaders.url_playwright.UnstructuredHtmlEvaluator([...])

Evaluate the page HTML content using the unstructured library.

document_loaders.url_selenium.SeleniumURLLoader(urls)

Load HTML pages with Selenium and parse with Unstructured.

document_loaders.vsdx.VsdxLoader(file_path)

Initialize with file path.

document_loaders.weather.WeatherDataLoader(...)

Load weather data with Open Weather Map API.

document_loaders.web_base.WebBaseLoader([...])

Load HTML pages using urllib and parse them with `BeautifulSoup'.

document_loaders.whatsapp_chat.WhatsAppChatLoader(path)

Load WhatsApp messages text file.

document_loaders.wikipedia.WikipediaLoader(query)

Load from Wikipedia.

document_loaders.word_document.Docx2txtLoader(...)

Load DOCX file using docx2txt and chunks at character level.

document_loaders.word_document.UnstructuredWordDocumentLoader(...)

Load Microsoft Word file using Unstructured.

document_loaders.xml.UnstructuredXMLLoader(...)

Load XML file using Unstructured.

document_loaders.xorbits.XorbitsLoader(...)

Load Xorbits DataFrame.

document_loaders.youtube.GoogleApiClient([...])

Generic Google API Client.

document_loaders.youtube.GoogleApiYoutubeLoader(...)

Load all Videos from a YouTube Channel.

document_loaders.youtube.TranscriptFormat(value)

Output formats of transcripts from YoutubeLoader.

document_loaders.youtube.YoutubeLoader(video_id)

Load YouTube video transcripts.

document_loaders.yuque.YuqueLoader(access_token)

Load documents from Yuque.

Functions¶

document_loaders.base_o365.fetch_mime_types(...)

Fetch the mime types for the specified file types.

document_loaders.chatgpt.concatenate_rows(...)

Combine message information in a readable format ready to be used.

document_loaders.facebook_chat.concatenate_rows(row)

Combine message information in a readable format ready to be used.

document_loaders.helpers.detect_file_encodings(...)

Try to detect the file encoding.

document_loaders.notebook.concatenate_cells(...)

Combine cells information in a readable format ready to be used.

document_loaders.notebook.remove_newlines(x)

Recursively remove newlines, no matter the data structure they are stored in.

document_loaders.parsers.pdf.extract_from_images_with_rapidocr(images)

Extract text from images with RapidOCR.

document_loaders.parsers.registry.get_parser(...)

Get a parser by parser name.

document_loaders.rocksetdb.default_joiner(docs)

Default joiner for content columns.

document_loaders.telegram.concatenate_rows(row)

Combine message information in a readable format ready to be used.

document_loaders.telegram.text_to_docs(text)

Convert a string or list of strings to a list of Documents with metadata.

document_loaders.unstructured.get_elements_from_api([...])

Retrieve a list of elements from the Unstructured API.

document_loaders.unstructured.satisfies_min_unstructured_version(...)

Check if the installed Unstructured version exceeds the minimum version for the feature in question.

document_loaders.unstructured.validate_unstructured_version(...)

Raise an error if the Unstructured version does not exceed the specified minimum.

document_loaders.whatsapp_chat.concatenate_rows(...)

Combine message information in a readable format ready to be used.

langchain_community.document_transformers¶

Document Transformers are classes to transform Documents.

Document Transformers usually used to transform a lot of Documents in a single run.

Class hierarchy:

BaseDocumentTransformer --> <name>  # Examples: DoctranQATransformer, DoctranTextTranslator

Main helpers:

Document

Classes¶

document_transformers.beautiful_soup_transformer.BeautifulSoupTransformer()

Transform HTML content by extracting specific tags and removing unwanted ones.

document_transformers.doctran_text_extract.DoctranPropertyExtractor(...)

Extract properties from text documents using doctran.

document_transformers.doctran_text_qa.DoctranQATransformer([...])

Extract QA from text documents using doctran.

document_transformers.doctran_text_translate.DoctranTextTranslator([...])

Translate text documents using doctran.

document_transformers.embeddings_redundant_filter.EmbeddingsClusteringFilter

Perform K-means clustering on document vectors.

document_transformers.embeddings_redundant_filter.EmbeddingsRedundantFilter

Filter that drops redundant documents by comparing their embeddings.

document_transformers.google_translate.GoogleTranslateTransformer(...)

[Deprecated] Translate text documents using Google Cloud Translation.

document_transformers.html2text.Html2TextTransformer([...])

Replace occurrences of a particular search pattern with a replacement string

document_transformers.long_context_reorder.LongContextReorder

Reorder long context.

document_transformers.markdownify.MarkdownifyTransformer([...])

Converts HTML documents to Markdown format with customizable options for handling links, images, other tags and heading styles using the markdownify library.

document_transformers.nuclia_text_transform.NucliaTextTransformer(nua)

Nuclia Text Transformer.

document_transformers.openai_functions.OpenAIMetadataTagger

Extract metadata tags from document contents using OpenAI functions.

Functions¶

document_transformers.beautiful_soup_transformer.get_navigable_strings(...)

Get all navigable strings from a BeautifulSoup element.

document_transformers.embeddings_redundant_filter.get_stateful_documents(...)

Convert a list of documents to a list of documents with state.

document_transformers.openai_functions.create_metadata_tagger(...)

Create a DocumentTransformer that uses an OpenAI function chain to automatically

langchain_community.embeddings¶

Embedding models are wrappers around embedding models from different APIs and services.

Embedding models can be LLMs or not.

Class hierarchy:

Embeddings --> <name>Embeddings  # Examples: OpenAIEmbeddings, HuggingFaceEmbeddings

Classes¶

embeddings.aleph_alpha.AlephAlphaAsymmetricSemanticEmbedding

Aleph Alpha's asymmetric semantic embedding.

embeddings.aleph_alpha.AlephAlphaSymmetricSemanticEmbedding

Symmetric version of the Aleph Alpha's semantic embeddings.

embeddings.anyscale.AnyscaleEmbeddings

Anyscale Embeddings API.

embeddings.ascend.AscendEmbeddings

Ascend NPU accelerate Embedding model

embeddings.awa.AwaEmbeddings

Embedding documents and queries with Awa DB.

embeddings.azure_openai.AzureOpenAIEmbeddings

[Deprecated] Azure OpenAI Embeddings API.

embeddings.baichuan.BaichuanTextEmbeddings

Baichuan Text Embedding models.

embeddings.baidu_qianfan_endpoint.QianfanEmbeddingsEndpoint

Baidu Qianfan Embeddings embedding models.

embeddings.bedrock.BedrockEmbeddings

Bedrock embedding models.

embeddings.bookend.BookendEmbeddings

Bookend AI sentence_transformers embedding models.

embeddings.clarifai.ClarifaiEmbeddings

Clarifai embedding models.

embeddings.cloudflare_workersai.CloudflareWorkersAIEmbeddings

Cloudflare Workers AI embedding model.

embeddings.clova.ClovaEmbeddings

Clova's embedding service.

embeddings.cohere.CohereEmbeddings

[Deprecated] Cohere embedding models.

embeddings.dashscope.DashScopeEmbeddings

DashScope embedding models.

embeddings.databricks.DatabricksEmbeddings

Databricks embeddings.

embeddings.deepinfra.DeepInfraEmbeddings

Deep Infra's embedding inference service.

embeddings.edenai.EdenAiEmbeddings

EdenAI embedding.

embeddings.elasticsearch.ElasticsearchEmbeddings(...)

[Deprecated] Elasticsearch embedding models.

embeddings.embaas.EmbaasEmbeddings

Embaas's embedding service.

embeddings.embaas.EmbaasEmbeddingsPayload

Payload for the Embaas embeddings API.

embeddings.ernie.ErnieEmbeddings

[Deprecated] Ernie Embeddings V1 embedding models.

embeddings.fake.DeterministicFakeEmbedding

Fake embedding model that always returns the same embedding vector for the same text.

embeddings.fake.FakeEmbeddings

Fake embedding model.

embeddings.fastembed.FastEmbedEmbeddings

Qdrant FastEmbedding models.

embeddings.gigachat.GigaChatEmbeddings

GigaChat Embeddings models.

embeddings.google_palm.GooglePalmEmbeddings

Google's PaLM Embeddings APIs.

embeddings.gpt4all.GPT4AllEmbeddings

GPT4All embedding models.

embeddings.gradient_ai.GradientEmbeddings

Gradient.ai Embedding models.

embeddings.gradient_ai.TinyAsyncGradientEmbeddingClient(...)

Deprecated, TinyAsyncGradientEmbeddingClient was removed.

embeddings.huggingface.HuggingFaceBgeEmbeddings

HuggingFace sentence_transformers embedding models.

embeddings.huggingface.HuggingFaceEmbeddings

[Deprecated] HuggingFace sentence_transformers embedding models.

embeddings.huggingface.HuggingFaceInferenceAPIEmbeddings

Embed texts using the HuggingFace API.

embeddings.huggingface.HuggingFaceInstructEmbeddings

Wrapper around sentence_transformers embedding models.

embeddings.huggingface_hub.HuggingFaceHubEmbeddings

[Deprecated] HuggingFaceHub embedding models.

embeddings.infinity.InfinityEmbeddings

Self-hosted embedding models for infinity package.

embeddings.infinity.TinyAsyncOpenAIInfinityEmbeddingClient([...])

Helper tool to embed Infinity.

embeddings.infinity_local.InfinityEmbeddingsLocal

Optimized Infinity embedding models.

embeddings.ipex_llm.IpexLLMBgeEmbeddings

Wrapper around the BGE embedding model with IPEX-LLM optimizations on Intel CPUs and GPUs.

embeddings.itrex.QuantizedBgeEmbeddings

Leverage Itrex runtime to unlock the performance of compressed NLP models.

embeddings.javelin_ai_gateway.JavelinAIGatewayEmbeddings

Javelin AI Gateway embeddings.

embeddings.jina.JinaEmbeddings

Jina embedding models.

embeddings.johnsnowlabs.JohnSnowLabsEmbeddings

JohnSnowLabs embedding models

embeddings.laser.LaserEmbeddings

LASER Language-Agnostic SEntence Representations.

embeddings.llamacpp.LlamaCppEmbeddings

llama.cpp embedding models.

embeddings.llamafile.LlamafileEmbeddings

Llamafile lets you distribute and run large language models with a single file.

embeddings.llm_rails.LLMRailsEmbeddings

LLMRails embedding models.

embeddings.localai.LocalAIEmbeddings

LocalAI embedding models.

embeddings.minimax.MiniMaxEmbeddings

MiniMax's embedding service.

embeddings.mlflow.MlflowCohereEmbeddings

Cohere embedding LLMs in MLflow.

embeddings.mlflow.MlflowEmbeddings

Embedding LLMs in MLflow.

embeddings.mlflow_gateway.MlflowAIGatewayEmbeddings

MLflow AI Gateway embeddings.

embeddings.modelscope_hub.ModelScopeEmbeddings

ModelScopeHub embedding models.

embeddings.mosaicml.MosaicMLInstructorEmbeddings

MosaicML embedding service.

embeddings.nemo.NeMoEmbeddings

[Deprecated] NeMo embedding models.

embeddings.nlpcloud.NLPCloudEmbeddings

NLP Cloud embedding models.

embeddings.oci_generative_ai.OCIAuthType(value)

OCI authentication types as enumerator.

embeddings.oci_generative_ai.OCIGenAIEmbeddings

OCI embedding models.

embeddings.octoai_embeddings.OctoAIEmbeddings

OctoAI Compute Service embedding models.

embeddings.ollama.OllamaEmbeddings

Ollama locally runs large language models.

embeddings.openai.OpenAIEmbeddings

[Deprecated] OpenAI embedding models.

embeddings.openvino.OpenVINOBgeEmbeddings

OpenVNO BGE embedding models.

embeddings.openvino.OpenVINOEmbeddings

OpenVINO embedding models.

embeddings.optimum_intel.QuantizedBiEncoderEmbeddings

Quantized bi-encoders embedding models.

embeddings.oracleai.OracleEmbeddings

Get Embeddings

embeddings.ovhcloud.OVHCloudEmbeddings

OVHcloud AI Endpoints Embeddings.

embeddings.premai.PremAIEmbeddings

Prem's Embedding APIs

embeddings.sagemaker_endpoint.EmbeddingsContentHandler()

Content handler for LLM class.

embeddings.sagemaker_endpoint.SagemakerEndpointEmbeddings

Custom Sagemaker Inference Endpoints.

embeddings.sambanova.SambaStudioEmbeddings

SambaNova embedding models.

embeddings.self_hosted.SelfHostedEmbeddings

Custom embedding models on self-hosted remote hardware.

embeddings.self_hosted_hugging_face.SelfHostedHuggingFaceEmbeddings

HuggingFace embedding models on self-hosted remote hardware.

embeddings.self_hosted_hugging_face.SelfHostedHuggingFaceInstructEmbeddings

HuggingFace InstructEmbedding models on self-hosted remote hardware.

embeddings.solar.SolarEmbeddings

[Deprecated] Solar's embedding service.

embeddings.spacy_embeddings.SpacyEmbeddings

Embeddings by spaCy models.

embeddings.sparkllm.AssembleHeaderException(msg)

Exception raised for errors in the header assembly.

embeddings.sparkllm.SparkLLMTextEmbeddings

SparkLLM Text Embedding models.

embeddings.sparkllm.Url(host, path, schema)

URL class for parsing the URL.

embeddings.tensorflow_hub.TensorflowHubEmbeddings

TensorflowHub embedding models.

embeddings.text2vec.Text2vecEmbeddings

text2vec embedding models.

embeddings.titan_takeoff.Device(value)

Device to use for inference, cuda or cpu.

embeddings.titan_takeoff.MissingConsumerGroup

Exception raised when no consumer group is provided on initialization of TitanTakeoffEmbed or in embed request.

embeddings.titan_takeoff.ReaderConfig

Configuration for the reader to be deployed in Takeoff.

embeddings.titan_takeoff.TakeoffEmbeddingException

Custom exception for interfacing with Takeoff Embedding class.

embeddings.titan_takeoff.TitanTakeoffEmbed([...])

Interface with Takeoff Inference API for embedding models.

embeddings.vertexai.VertexAIEmbeddings

[Deprecated] Google Cloud VertexAI embedding models.

embeddings.volcengine.VolcanoEmbeddings

Volcengine Embeddings embedding models.

embeddings.voyageai.VoyageEmbeddings

[Deprecated] Voyage embedding models.

embeddings.xinference.XinferenceEmbeddings([...])

Xinference embedding models.

embeddings.yandex.YandexGPTEmbeddings

YandexGPT Embeddings models.

embeddings.zhipuai.ZhipuAIEmbeddings

ZhipuAI embedding models.

Functions¶

embeddings.dashscope.embed_with_retry(...)

Use tenacity to retry the embedding call.

embeddings.google_palm.embed_with_retry(...)

Use tenacity to retry the completion call.

embeddings.jina.get_bytes_str(file_path)

Get the bytes string of a file.

embeddings.jina.is_local(url)

Check if a URL is a local file.

embeddings.localai.async_embed_with_retry(...)

Use tenacity to retry the embedding call.

embeddings.localai.embed_with_retry(...)

Use tenacity to retry the embedding call.

embeddings.minimax.embed_with_retry(...)

Use tenacity to retry the completion call.

embeddings.nemo.is_endpoint_live(url, ...)

Check if an endpoint is live by sending a GET request to the specified URL.

embeddings.openai.async_embed_with_retry(...)

Use tenacity to retry the embedding call.

embeddings.openai.embed_with_retry(...)

Use tenacity to retry the embedding call.

embeddings.premai.create_prem_retry_decorator(...)

Create a retry decorator for PremAIEmbeddings.

embeddings.premai.embed_with_retry(embedder, ...)

Using tenacity for retry in embedding calls

embeddings.self_hosted_hugging_face.load_embedding_model(...)

Load the embedding model.

embeddings.solar.embed_with_retry(...)

Use tenacity to retry the completion call.

embeddings.voyageai.embed_with_retry(...)

Use tenacity to retry the embedding call.

langchain_community.example_selectors¶

Example selector implements logic for selecting examples to include them in prompts. This allows us to select examples that are most relevant to the input.

There could be multiple strategies for selecting examples. For example, one could select examples based on the similarity of the input to the examples. Another strategy could be to select examples based on the diversity of the examples.

Classes¶

example_selectors.ngram_overlap.NGramOverlapExampleSelector

Select and order examples based on ngram overlap score (sentence_bleu score from NLTK package).

Functions¶

example_selectors.ngram_overlap.ngram_overlap_score(...)

Compute ngram overlap score of source and example as sentence_bleu score from NLTK package.

langchain_community.graphs¶

Graphs provide a natural language interface to graph databases.

Classes¶

graphs.age_graph.AGEGraph(graph_name, conf)

Apache AGE wrapper for graph operations.

graphs.age_graph.AGEQueryException(exception)

Exception for the AGE queries.

graphs.arangodb_graph.ArangoGraph(db)

ArangoDB wrapper for graph operations.

graphs.falkordb_graph.FalkorDBGraph(database)

FalkorDB wrapper for graph operations.

graphs.graph_document.GraphDocument

Represents a graph document consisting of nodes and relationships.

graphs.graph_document.Node

Represents a node in a graph with associated properties.

graphs.graph_document.Relationship

Represents a directed relationship between two nodes in a graph.

graphs.graph_store.GraphStore()

Abstract class for graph operations.

graphs.gremlin_graph.GremlinGraph([url, ...])

Gremlin wrapper for graph operations.

graphs.hugegraph.HugeGraph([username, ...])

HugeGraph wrapper for graph operations.

graphs.index_creator.GraphIndexCreator

Functionality to create graph index.

graphs.kuzu_graph.KuzuGraph(db[, database])

K√Ļzu wrapper for graph operations.

graphs.memgraph_graph.MemgraphGraph(url, ...)

Memgraph wrapper for graph operations.

graphs.nebula_graph.NebulaGraph(space[, ...])

NebulaGraph wrapper for graph operations.

graphs.neo4j_graph.Neo4jGraph([url, ...])

Neo4j database wrapper for various graph operations.

graphs.neptune_graph.BaseNeptuneGraph()

Abstract base class for Neptune

graphs.neptune_graph.NeptuneAnalyticsGraph(...)

Neptune Analytics wrapper for graph operations.

graphs.neptune_graph.NeptuneGraph(host[, ...])

Neptune wrapper for graph operations.

graphs.neptune_graph.NeptuneQueryException(...)

Exception for the Neptune queries.

graphs.neptune_rdf_graph.NeptuneRdfGraph(host)

Neptune wrapper for RDF graph operations.

graphs.networkx_graph.KnowledgeTriple(...)

Knowledge triple in the graph.

graphs.networkx_graph.NetworkxEntityGraph([graph])

Networkx wrapper for entity graph operations.

graphs.ontotext_graphdb_graph.OntotextGraphDBGraph(...)

Ontotext GraphDB https://graphdb.ontotext.com/ wrapper for graph operations.

graphs.rdf_graph.RdfGraph([source_file, ...])

RDFlib wrapper for graph operations.

graphs.tigergraph_graph.TigerGraph(conn)

TigerGraph wrapper for graph operations.

Functions¶

graphs.arangodb_graph.get_arangodb_client([...])

Get the Arango DB client from credentials.

graphs.neo4j_graph.clean_string_values(text)

Clean string values for schema.

graphs.neo4j_graph.value_sanitize(d)

Sanitize the input dictionary or list.

graphs.networkx_graph.get_entities(entity_str)

Extract entities from entity string.

graphs.networkx_graph.parse_triples(...)

Parse knowledge triples from the knowledge string.

langchain_community.indexes¶

Index is used to avoid writing duplicated content into the vectostore and to avoid over-writing content if it’s unchanged.

Indexes also :

  • Create knowledge graphs from data.

  • Support indexing workflows from LangChain data loaders to vectorstores.

Importantly, Index keeps on working even if the content being written is derived via a set of transformations from some source content (e.g., indexing children documents that were derived from parent documents by chunking.)

Classes¶

indexes.base.RecordManager(namespace)

Abstract base class for a record manager.

langchain_community.llms¶

LLM classes provide access to the large language model (LLM) APIs and services.

Class hierarchy:

BaseLanguageModel --> BaseLLM --> LLM --> <name>  # Examples: AI21, HuggingFaceHub, OpenAI

Main helpers:

LLMResult, PromptValue,
CallbackManagerForLLMRun, AsyncCallbackManagerForLLMRun,
CallbackManager, AsyncCallbackManager,
AIMessage, BaseMessage

Classes¶

llms.ai21.AI21

AI21 large language models.

llms.ai21.AI21PenaltyData

Parameters for AI21 penalty data.

llms.aleph_alpha.AlephAlpha

Aleph Alpha large language models.

llms.amazon_api_gateway.AmazonAPIGateway

Amazon API Gateway to access LLM models hosted on AWS.

llms.amazon_api_gateway.ContentHandlerAmazonAPIGateway()

Adapter to prepare the inputs from Langchain to a format that LLM model expects.

llms.anthropic.Anthropic

[Deprecated] Anthropic large language models.

llms.anyscale.Anyscale

Anyscale large language models.

llms.aphrodite.Aphrodite

Aphrodite language model.

llms.arcee.Arcee

Arcee's Domain Adapted Language Models (DALMs).

llms.aviary.Aviary

Aviary hosted models.

llms.aviary.AviaryBackend(backend_url, bearer)

Aviary backend.

llms.azureml_endpoint.AzureMLBaseEndpoint

Azure ML Online Endpoint models.

llms.azureml_endpoint.AzureMLEndpointApiType(value)

Azure ML endpoints API types.

llms.azureml_endpoint.AzureMLEndpointClient(...)

AzureML Managed Endpoint client.

llms.azureml_endpoint.AzureMLOnlineEndpoint

Azure ML Online Endpoint models.

llms.azureml_endpoint.ContentFormatterBase()

Transform request and response of AzureML endpoint to match with required schema.

llms.azureml_endpoint.CustomOpenAIContentFormatter()

Content formatter for models that use the OpenAI like API scheme.

llms.azureml_endpoint.DollyContentFormatter()

Content handler for the Dolly-v2-12b model

llms.azureml_endpoint.GPT2ContentFormatter()

Content handler for GPT2

llms.azureml_endpoint.HFContentFormatter()

Content handler for LLMs from the HuggingFace catalog.

llms.azureml_endpoint.LlamaContentFormatter()

Deprecated: Kept for backwards compatibility

llms.azureml_endpoint.OSSContentFormatter()

Deprecated: Kept for backwards compatibility

llms.baichuan.BaichuanLLM

Baichuan large language models.

llms.baidu_qianfan_endpoint.QianfanLLMEndpoint

Baidu Qianfan hosted open source or customized models.

llms.bananadev.Banana

Banana large language models.

llms.baseten.Baseten

Baseten model

llms.beam.Beam

Beam API for gpt2 large language model.

llms.bedrock.Bedrock

[Deprecated] Bedrock models.

llms.bedrock.BedrockBase

Base class for Bedrock models.

llms.bedrock.LLMInputOutputAdapter()

Adapter class to prepare the inputs from Langchain to a format that LLM model expects.

llms.bigdl_llm.BigdlLLM

Wrapper around the BigdlLLM model

llms.bittensor.NIBittensorLLM

NIBittensor LLMs

llms.cerebriumai.CerebriumAI

CerebriumAI large language models.

llms.chatglm.ChatGLM

ChatGLM LLM service.

llms.chatglm3.ChatGLM3

ChatGLM3 LLM service.

llms.clarifai.Clarifai

Clarifai large language models.

llms.cloudflare_workersai.CloudflareWorkersAI

Cloudflare Workers AI service.

llms.cohere.BaseCohere

[Deprecated] Base class for Cohere models.

llms.cohere.Cohere

[Deprecated] Cohere large language models.

llms.ctransformers.CTransformers

C Transformers LLM models.

llms.ctranslate2.CTranslate2

CTranslate2 language model.

llms.databricks.Databricks

Databricks serving endpoint or a cluster driver proxy app for LLM.

llms.deepinfra.DeepInfra

DeepInfra models.

llms.deepsparse.DeepSparse

Neural Magic DeepSparse LLM interface.

llms.edenai.EdenAI

EdenAI models.

llms.exllamav2.ExLlamaV2

ExllamaV2 API.

llms.fake.FakeListLLM

Fake LLM for testing purposes.

llms.fake.FakeStreamingListLLM

Fake streaming list LLM for testing purposes.

llms.fireworks.Fireworks

[Deprecated] Fireworks models.

llms.forefrontai.ForefrontAI

ForefrontAI large language models.

llms.friendli.BaseFriendli

Base class of Friendli.

llms.friendli.Friendli

Friendli LLM.

llms.gigachat.GigaChat

GigaChat large language models API.

llms.google_palm.GooglePalm

[Deprecated] DEPRECATED: Use langchain_google_genai.GoogleGenerativeAI instead.

llms.gooseai.GooseAI

GooseAI large language models.

llms.gpt4all.GPT4All

GPT4All language models.

llms.gradient_ai.GradientLLM

Gradient.ai LLM Endpoints.

llms.gradient_ai.TrainResult

Train result.

llms.huggingface_endpoint.HuggingFaceEndpoint

[Deprecated] HuggingFace Endpoint.

llms.huggingface_hub.HuggingFaceHub

[Deprecated] HuggingFaceHub models.

llms.huggingface_pipeline.HuggingFacePipeline

[Deprecated] HuggingFace Pipeline API.

llms.huggingface_text_gen_inference.HuggingFaceTextGenInference

[Deprecated] HuggingFace text generation API.

llms.human.HumanInputLLM

User input as the response.

llms.ipex_llm.IpexLLM

IpexLLM model.

llms.javelin_ai_gateway.JavelinAIGateway

Javelin AI Gateway LLMs.

llms.javelin_ai_gateway.Params

Parameters for the Javelin AI Gateway LLM.

llms.koboldai.KoboldApiLLM

Kobold API language model.

llms.konko.Konko

Konko AI models.

llms.layerup_security.LayerupSecurity

Layerup Security LLM service.

llms.llamacpp.LlamaCpp

llama.cpp model.

llms.llamafile.Llamafile

Llamafile lets you distribute and run large language models with a single file.

llms.manifest.ManifestWrapper

HazyResearch's Manifest library.

llms.minimax.Minimax

Minimax large language models.

llms.minimax.MinimaxCommon

Common parameters for Minimax large language models.

llms.mlflow.Mlflow

MLflow LLM service.

llms.mlflow_ai_gateway.MlflowAIGateway

MLflow AI Gateway LLMs.

llms.mlflow_ai_gateway.Params

Parameters for the MLflow AI Gateway LLM.

llms.mlx_pipeline.MLXPipeline

MLX Pipeline API.

llms.modal.Modal

Modal large language models.

llms.moonshot.Moonshot

Moonshot large language models.

llms.moonshot.MoonshotCommon

Common parameters for Moonshot LLMs.

llms.mosaicml.MosaicML

MosaicML LLM service.

llms.nlpcloud.NLPCloud

NLPCloud large language models.

llms.oci_data_science_model_deployment_endpoint.OCIModelDeploymentLLM

Base class for LLM deployed on OCI Data Science Model Deployment.

llms.oci_data_science_model_deployment_endpoint.OCIModelDeploymentTGI

OCI Data Science Model Deployment TGI Endpoint.

llms.oci_data_science_model_deployment_endpoint.OCIModelDeploymentVLLM

VLLM deployed on OCI Data Science Model Deployment

llms.oci_generative_ai.CohereProvider()

llms.oci_generative_ai.MetaProvider()

llms.oci_generative_ai.OCIAuthType(value)

OCI authentication types as enumerator.

llms.oci_generative_ai.OCIGenAI

OCI large language models.

llms.oci_generative_ai.OCIGenAIBase

Base class for OCI GenAI models

llms.oci_generative_ai.Provider()

llms.octoai_endpoint.OctoAIEndpoint

OctoAI LLM Endpoints - OpenAI compatible.

llms.ollama.Ollama

Ollama locally runs large language models.

llms.ollama.OllamaEndpointNotFoundError

Raised when the Ollama endpoint is not found.

llms.opaqueprompts.OpaquePrompts

LLM that uses OpaquePrompts to sanitize prompts.

llms.openai.AzureOpenAI

[Deprecated] Azure-specific OpenAI large language models.

llms.openai.BaseOpenAI

Base OpenAI large language model class.

llms.openai.OpenAI

[Deprecated] OpenAI large language models.

llms.openai.OpenAIChat

[Deprecated] OpenAI Chat large language models.

llms.openllm.IdentifyingParams

Parameters for identifying a model as a typed dict.

llms.openllm.OpenLLM

OpenLLM, supporting both in-process model instance and remote OpenLLM servers.

llms.openlm.OpenLM

OpenLM models.

llms.pai_eas_endpoint.PaiEasEndpoint

Langchain LLM class to help to access eass llm service.

llms.petals.Petals

Petals Bloom models.

llms.pipelineai.PipelineAI

PipelineAI large language models.

llms.predibase.Predibase

Use your Predibase models with Langchain.

llms.predictionguard.PredictionGuard

Prediction Guard large language models.

llms.promptlayer_openai.PromptLayerOpenAI

PromptLayer OpenAI large language models.

llms.promptlayer_openai.PromptLayerOpenAIChat

PromptLayer OpenAI large language models.

llms.replicate.Replicate

Replicate models.

llms.rwkv.RWKV

RWKV language models.

llms.sagemaker_endpoint.ContentHandlerBase()

Handler class to transform input from LLM to a format that SageMaker endpoint expects.

llms.sagemaker_endpoint.LLMContentHandler()

Content handler for LLM class.

llms.sagemaker_endpoint.LineIterator(stream)

Parse the byte stream input.

llms.sagemaker_endpoint.SagemakerEndpoint

Sagemaker Inference Endpoint models.

llms.sambanova.SSEndpointHandler(host_url, ...)

SambaNova Systems Interface for SambaStudio model endpoints.

llms.sambanova.SVEndpointHandler(host_url)

SambaNova Systems Interface for Sambaverse endpoint.

llms.sambanova.SambaStudio

SambaStudio large language models.

llms.sambanova.Sambaverse

Sambaverse large language models.

llms.self_hosted.SelfHostedPipeline

Model inference on self-hosted remote hardware.

llms.self_hosted_hugging_face.SelfHostedHuggingFaceLLM

HuggingFace Pipeline API to run on self-hosted remote hardware.

llms.solar.Solar

Solar large language models.

llms.solar.SolarCommon

Common configuration for Solar LLMs.

llms.sparkllm.SparkLLM

iFlyTek Spark large language model.

llms.stochasticai.StochasticAI

StochasticAI large language models.

llms.symblai_nebula.Nebula

Nebula Service models.

llms.textgen.TextGen

Text generation models from WebUI.

llms.titan_takeoff.Device(value)

The device to use for inference, cuda or cpu

llms.titan_takeoff.ReaderConfig

Configuration for the reader to be deployed in Titan Takeoff API.

llms.titan_takeoff.TitanTakeoff

Titan Takeoff API LLMs.

llms.together.Together

[Deprecated] LLM models from Together.

llms.tongyi.Tongyi

Tongyi Qwen large language models.

llms.vertexai.VertexAI

[Deprecated] Google Vertex AI large language models.

llms.vertexai.VertexAIModelGarden

[Deprecated] Vertex AI Model Garden large language models.

llms.vllm.VLLM

VLLM language model.

llms.vllm.VLLMOpenAI

vLLM OpenAI-compatible API client

llms.volcengine_maas.VolcEngineMaasBase

Base class for VolcEngineMaas models.

llms.volcengine_maas.VolcEngineMaasLLM

volc engine maas hosts a plethora of models.

llms.watsonxllm.WatsonxLLM

[Deprecated] IBM watsonx.ai large language models.

llms.weight_only_quantization.WeightOnlyQuantPipeline

Weight only quantized model.

llms.writer.Writer

Writer large language models.

llms.xinference.Xinference

Xinference large-scale model inference service.

llms.yandex.YandexGPT

Yandex large language models.

llms.yuan2.Yuan2

Yuan2.0 language models.

Functions¶

llms.anyscale.create_llm_result(choices, ...)

Create the LLMResult from the choices and prompts.

llms.anyscale.update_token_usage(keys, ...)

Update token usage.

llms.aviary.get_completions(model, prompt[, ...])

Get completions from Aviary models.

llms.aviary.get_models()

List available models

llms.cohere.acompletion_with_retry(llm, **kwargs)

Use tenacity to retry the completion call.

llms.cohere.completion_with_retry(llm, **kwargs)

Use tenacity to retry the completion call.

llms.databricks.get_default_api_token()

Get the default Databricks personal access token.

llms.databricks.get_default_host()

Get the default Databricks workspace hostname.

llms.databricks.get_repl_context()

Get the notebook REPL context if running inside a Databricks notebook.

llms.fireworks.acompletion_with_retry(llm, ...)

Use tenacity to retry the completion call.

llms.fireworks.acompletion_with_retry_batching(...)

Use tenacity to retry the completion call.

llms.fireworks.acompletion_with_retry_streaming(...)

Use tenacity to retry the completion call for streaming.

llms.fireworks.completion_with_retry(llm, ...)

Use tenacity to retry the completion call.

llms.fireworks.completion_with_retry_batching(...)

Use tenacity to retry the completion call.

llms.fireworks.conditional_decorator(...)

Conditionally apply a decorator.

llms.google_palm.completion_with_retry(llm, ...)

Use tenacity to retry the completion call.

llms.koboldai.clean_url(url)

Remove trailing slash and /api from url if present.

llms.layerup_security.default_guardrail_violation_handler(...)

Default guardrail violation handler.

llms.loading.load_llm(file, **kwargs)

Load LLM from a file.

llms.loading.load_llm_from_config(config, ...)

Load LLM from Config Dict.

llms.openai.acompletion_with_retry(llm[, ...])

Use tenacity to retry the async completion call.

llms.openai.completion_with_retry(llm[, ...])

Use tenacity to retry the completion call.

llms.openai.update_token_usage(keys, ...)

Update token usage.

llms.symblai_nebula.completion_with_retry(...)

Use tenacity to retry the completion call.

llms.symblai_nebula.make_request(self, prompt)

Generate text from the model.

llms.tongyi.agenerate_with_last_element_mark(...)

Generate elements from an async iterable, and a boolean indicating if it is the last element.

llms.tongyi.astream_generate_with_retry(llm, ...)

Async version of stream_generate_with_retry.

llms.tongyi.check_response(resp)

Check the response from the completion call.

llms.tongyi.generate_with_last_element_mark(...)

Generate elements from an iterable, and a boolean indicating if it is the last element.

llms.tongyi.generate_with_retry(llm, **kwargs)

Use tenacity to retry the completion call.

llms.tongyi.stream_generate_with_retry(llm, ...)

Use tenacity to retry the completion call.

llms.utils.enforce_stop_tokens(text, stop)

Cut off the text as soon as any stop words occur.

llms.vertexai.acompletion_with_retry(llm, prompt)

Use tenacity to retry the completion call.

llms.vertexai.completion_with_retry(llm, prompt)

Use tenacity to retry the completion call.

llms.vertexai.is_codey_model(model_name)

Return True if the model name is a Codey model.

llms.vertexai.is_gemini_model(model_name)

Return True if the model name is a Gemini model.

llms.yandex.acompletion_with_retry(llm, **kwargs)

Use tenacity to retry the async completion call.

llms.yandex.completion_with_retry(llm, **kwargs)

Use tenacity to retry the completion call.

langchain_community.memory¶

Classes¶

memory.kg.ConversationKGMemory

Knowledge graph conversation memory.

memory.motorhead_memory.MotorheadMemory

Chat message memory backed by Motorhead service.

memory.zep_cloud_memory.ZepCloudMemory()

memory.zep_memory.ZepMemory

Persist your chain history to the Zep MemoryStore.

langchain_community.output_parsers¶

OutputParser classes parse the output of an LLM call.

Class hierarchy:

BaseLLMOutputParser --> BaseOutputParser --> <name>OutputParser  # GuardrailsOutputParser

Main helpers:

Serializable, Generation, PromptValue

Classes¶

output_parsers.ernie_functions.JsonKeyOutputFunctionsParser

Parse an output as the element of the Json object.

output_parsers.ernie_functions.JsonOutputFunctionsParser

Parse an output as the Json object.

output_parsers.ernie_functions.OutputFunctionsParser

Parse an output that is one of sets of values.

output_parsers.ernie_functions.PydanticAttrOutputFunctionsParser

Parse an output as an attribute of a pydantic object.

output_parsers.ernie_functions.PydanticOutputFunctionsParser

Parse an output as a pydantic object.

output_parsers.rail_parser.GuardrailsOutputParser

Parse the output of an LLM call using Guardrails.

langchain_community.query_constructors¶

Classes¶

query_constructors.astradb.AstraDBTranslator()

Translate AstraDB internal query language elements to valid filters.

query_constructors.chroma.ChromaTranslator()

Translate Chroma internal query language elements to valid filters.

query_constructors.dashvector.DashvectorTranslator()

Logic for converting internal query language elements to valid filters.

query_constructors.databricks_vector_search.DatabricksVectorSearchTranslator()

Translate Databricks vector search internal query language elements to valid filters.

query_constructors.deeplake.DeepLakeTranslator()

Translate DeepLake internal query language elements to valid filters.

query_constructors.dingo.DingoDBTranslator()

Translate DingoDB internal query language elements to valid filters.

query_constructors.elasticsearch.ElasticsearchTranslator()

Translate Elasticsearch internal query language elements to valid filters.

query_constructors.milvus.MilvusTranslator()

Translate Milvus internal query language elements to valid filters.

query_constructors.mongodb_atlas.MongoDBAtlasTranslator()

Translate Mongo internal query language elements to valid filters.

query_constructors.myscale.MyScaleTranslator([...])

Translate MyScale internal query language elements to valid filters.

query_constructors.opensearch.OpenSearchTranslator()

Translate OpenSearch internal query domain-specific language elements to valid filters.

query_constructors.pgvector.PGVectorTranslator()

Translate PGVector internal query language elements to valid filters.

query_constructors.pinecone.PineconeTranslator()

Translate Pinecone internal query language elements to valid filters.

query_constructors.qdrant.QdrantTranslator(...)

Translate Qdrant internal query language elements to valid filters.

query_constructors.redis.RedisTranslator(schema)

Visitor for translating structured queries to Redis filter expressions.

query_constructors.supabase.SupabaseVectorTranslator()

Translate Langchain filters to Supabase PostgREST filters.

query_constructors.tencentvectordb.TencentVectorDBTranslator([...])

Translate StructuredQuery to Tencent VectorDB query.

query_constructors.timescalevector.TimescaleVectorTranslator()

Translate the internal query language elements to valid filters.

query_constructors.vectara.VectaraTranslator()

Translate Vectara internal query language elements to valid filters.

query_constructors.weaviate.WeaviateTranslator()

Translate Weaviate internal query language elements to valid filters.

Functions¶

query_constructors.deeplake.can_cast_to_float(string)

Check if a string can be cast to a float.

query_constructors.milvus.process_value(...)

Convert a value to a string and add double quotes if it is a string.

query_constructors.vectara.process_value(value)

Convert a value to a string and add single quotes if it is a string.

langchain_community.retrievers¶

Retriever class returns Documents given a text query.

It is more general than a vector store. A retriever does not need to be able to store documents, only to return (or retrieve) it. Vector stores can be used as the backbone of a retriever, but there are other types of retrievers as well.

Class hierarchy:

BaseRetriever --> <name>Retriever  # Examples: ArxivRetriever, MergerRetriever

Main helpers:

Document, Serializable, Callbacks,
CallbackManagerForRetrieverRun, AsyncCallbackManagerForRetrieverRun

Classes¶

retrievers.arcee.ArceeRetriever

Arcee Domain Adapted Language Models (DALMs) retriever.

retrievers.arxiv.ArxivRetriever

Arxiv retriever.

retrievers.asknews.AskNewsRetriever

AskNews retriever.

retrievers.azure_ai_search.AzureAISearchRetriever

Azure AI Search service retriever.

retrievers.azure_ai_search.AzureCognitiveSearchRetriever

Azure Cognitive Search service retriever.

retrievers.bedrock.AmazonKnowledgeBasesRetriever

Amazon Bedrock Knowledge Bases retrieval.

retrievers.bedrock.RetrievalConfig

Configuration for retrieval.

retrievers.bedrock.VectorSearchConfig

Configuration for vector search.

retrievers.bm25.BM25Retriever

BM25 retriever without Elasticsearch.

retrievers.breebs.BreebsRetriever

A retriever class for Breebs.

retrievers.chaindesk.ChaindeskRetriever

Chaindesk API retriever.

retrievers.chatgpt_plugin_retriever.ChatGPTPluginRetriever

ChatGPT plugin retriever.

retrievers.cohere_rag_retriever.CohereRagRetriever

[Deprecated] Cohere Chat API with RAG.

retrievers.databerry.DataberryRetriever

Databerry API retriever.

retrievers.docarray.DocArrayRetriever

DocArray Document Indices retriever.

retrievers.docarray.SearchType(value)

Enumerator of the types of search to perform.

retrievers.dria_index.DriaRetriever

Dria retriever using the DriaAPIWrapper.

retrievers.elastic_search_bm25.ElasticSearchBM25Retriever

Elasticsearch retriever that uses BM25.

retrievers.embedchain.EmbedchainRetriever

Embedchain retriever.

retrievers.google_cloud_documentai_warehouse.GoogleDocumentAIWarehouseRetriever

[Deprecated] A retriever based on Document AI Warehouse.

retrievers.google_vertex_ai_search.GoogleCloudEnterpriseSearchRetriever

Google Vertex Search API retriever alias for backwards compatibility.

retrievers.google_vertex_ai_search.GoogleVertexAIMultiTurnSearchRetriever

[Deprecated] Google Vertex AI Search retriever for multi-turn conversations.

retrievers.google_vertex_ai_search.GoogleVertexAISearchRetriever

[Deprecated] Google Vertex AI Search retriever.

retrievers.kay.KayAiRetriever

Retriever for Kay.ai datasets.

retrievers.kendra.AdditionalResultAttribute

Additional result attribute.

retrievers.kendra.AdditionalResultAttributeValue

Value of an additional result attribute.

retrievers.kendra.AmazonKendraRetriever

Amazon Kendra Index retriever.

retrievers.kendra.DocumentAttribute

Document attribute.

retrievers.kendra.DocumentAttributeValue

Value of a document attribute.

retrievers.kendra.Highlight

Information that highlights the keywords in the excerpt.

retrievers.kendra.QueryResult

Amazon Kendra Query API search result.

retrievers.kendra.QueryResultItem

Query API result item.

retrievers.kendra.ResultItem

Base class of a result item.

retrievers.kendra.RetrieveResult

Amazon Kendra Retrieve API search result.

retrievers.kendra.RetrieveResultItem

Retrieve API result item.

retrievers.kendra.TextWithHighLights

Text with highlights.

retrievers.knn.KNNRetriever

KNN retriever.

retrievers.llama_index.LlamaIndexGraphRetriever

LlamaIndex graph data structure retriever.

retrievers.llama_index.LlamaIndexRetriever

LlamaIndex retriever.

retrievers.metal.MetalRetriever

Metal API retriever.

retrievers.milvus.MilvusRetriever

Milvus API retriever.

retrievers.outline.OutlineRetriever

Retriever for Outline API.

retrievers.pinecone_hybrid_search.PineconeHybridSearchRetriever

Pinecone Hybrid Search retriever.

retrievers.pubmed.PubMedRetriever

PubMed API retriever.

retrievers.qdrant_sparse_vector_retriever.QdrantSparseVectorRetriever

Qdrant sparse vector retriever.

retrievers.rememberizer.RememberizerRetriever

Rememberizer retriever.

retrievers.remote_retriever.RemoteLangChainRetriever

LangChain API retriever.

retrievers.svm.SVMRetriever

SVM retriever.

retrievers.tavily_search_api.SearchDepth(value)

Search depth as enumerator.

retrievers.tavily_search_api.TavilySearchAPIRetriever

Tavily Search API retriever.

retrievers.tfidf.TFIDFRetriever

TF-IDF retriever.

retrievers.thirdai_neuraldb.NeuralDBRetriever

Document retriever that uses ThirdAI's NeuralDB.

retrievers.vespa_retriever.VespaRetriever

Vespa retriever.

retrievers.weaviate_hybrid_search.WeaviateHybridSearchRetriever

Weaviate hybrid search retriever.

retrievers.web_research.QuestionListOutputParser

Output parser for a list of numbered questions.

retrievers.web_research.SearchQueries

Search queries to research for the user's goal.

retrievers.web_research.WebResearchRetriever

Google Search API retriever.

retrievers.wikipedia.WikipediaRetriever

Wikipedia API retriever.

retrievers.you.YouRetriever

You.com Search API retriever.

retrievers.zep.SearchScope(value)

Which documents to search.

retrievers.zep.SearchType(value)

Enumerator of the types of search to perform.

retrievers.zep.ZepRetriever

Zep MemoryStore Retriever.

retrievers.zep_cloud.ZepCloudRetriever

Zep Cloud MemoryStore Retriever.

retrievers.zilliz.ZillizRetriever

Zilliz API retriever.

Functions¶

retrievers.bm25.default_preprocessing_func(text)

retrievers.kendra.clean_excerpt(excerpt)

Clean an excerpt from Kendra.

retrievers.kendra.combined_text(item)

Combine a ResultItem title and excerpt into a single string.

retrievers.knn.create_index(contexts, embeddings)

Create an index of embeddings for a list of contexts.

retrievers.milvus.MilvusRetreiver(*args, ...)

Deprecated MilvusRetreiver.

retrievers.pinecone_hybrid_search.create_index(...)

Create an index from a list of contexts.

retrievers.pinecone_hybrid_search.hash_text(text)

Hash a text using SHA256.

retrievers.svm.create_index(contexts, embeddings)

Create an index of embeddings for a list of contexts.

retrievers.zilliz.ZillizRetreiver(*args, ...)

Deprecated ZillizRetreiver.

langchain_community.storage¶

Storage is an implementation of key-value store.

Storage module provides implementations of various key-value stores that conform to a simple key-value interface.

The primary goal of these storages is to support caching.

Class hierarchy:

BaseStore --> <name>Store  # Examples: MongoDBStore, RedisStore

Classes¶

storage.astradb.AstraDBBaseStore(*args, **kwargs)

Base class for the DataStax AstraDB data store.

storage.astradb.AstraDBByteStore(collection_name)

[Deprecated]

storage.astradb.AstraDBStore(collection_name)

[Deprecated]

storage.cassandra.CassandraByteStore(table, *)

A ByteStore implementation using Cassandra as the backend.

storage.mongodb.MongoDBStore(...[, ...])

BaseStore implementation using MongoDB as the underlying store.

storage.redis.RedisStore(*[, client, ...])

BaseStore implementation using Redis as the underlying store.

storage.sql.LangchainKeyValueStores(**kwargs)

Table used to save values.

storage.sql.SQLStore(*, namespace[, db_url, ...])

BaseStore interface that works on an SQL database.

storage.upstash_redis.UpstashRedisByteStore(*)

BaseStore implementation using Upstash Redis as the underlying store to store raw bytes.

storage.upstash_redis.UpstashRedisStore(*[, ...])

[Deprecated] BaseStore implementation using Upstash Redis as the underlying store to store strings.

Functions¶

storage.sql.items_equal(x, y)

langchain_community.tools¶

Tools are classes that an Agent uses to interact with the world.

Each tool has a description. Agent uses the description to choose the right tool for the job.

Class hierarchy:

ToolMetaclass --> BaseTool --> <name>Tool  # Examples: AIPluginTool, BaseGraphQLTool
                               <name>      # Examples: BraveSearch, HumanInputRun

Main helpers:

CallbackManagerForToolRun, AsyncCallbackManagerForToolRun

Classes¶

tools.ainetwork.app.AINAppOps

Tool for app operations.

tools.ainetwork.app.AppOperationType(value)

Type of app operation as enumerator.

tools.ainetwork.app.AppSchema

Schema for app operations.

tools.ainetwork.base.AINBaseTool

Base class for the AINetwork tools.

tools.ainetwork.base.OperationType(value)

Type of operation as enumerator.

tools.ainetwork.owner.AINOwnerOps

Tool for owner operations.

tools.ainetwork.owner.RuleSchema

Schema for owner operations.

tools.ainetwork.rule.AINRuleOps

Tool for owner operations.

tools.ainetwork.rule.RuleSchema

Schema for owner operations.

tools.ainetwork.transfer.AINTransfer

Tool for transfer operations.

tools.ainetwork.transfer.TransferSchema

Schema for transfer operations.

tools.ainetwork.value.AINValueOps

Tool for value operations.

tools.ainetwork.value.ValueSchema

Schema for value operations.

tools.amadeus.base.AmadeusBaseTool

Base Tool for Amadeus.

tools.amadeus.closest_airport.AmadeusClosestAirport

Tool for finding the closest airport to a particular location.

tools.amadeus.closest_airport.ClosestAirportSchema

Schema for the AmadeusClosestAirport tool.

tools.amadeus.flight_search.AmadeusFlightSearch

Tool for searching for a single flight between two airports.

tools.amadeus.flight_search.FlightSearchSchema

Schema for the AmadeusFlightSearch tool.

tools.arxiv.tool.ArxivInput

Input for the Arxiv tool.

tools.arxiv.tool.ArxivQueryRun

Tool that searches the Arxiv API.

tools.asknews.tool.AskNewsSearch

Tool that searches the AskNews API.

tools.asknews.tool.SearchInput

Input for the AskNews Search tool.

tools.audio.huggingface_text_to_speech_inference.HuggingFaceTextToSpeechModelInference

HuggingFace Text-to-Speech Model Inference.

tools.azure_ai_services.document_intelligence.AzureAiServicesDocumentIntelligenceTool

Tool that queries the Azure AI Services Document Intelligence API.

tools.azure_ai_services.image_analysis.AzureAiServicesImageAnalysisTool

Tool that queries the Azure AI Services Image Analysis API.

tools.azure_ai_services.speech_to_text.AzureAiServicesSpeechToTextTool

Tool that queries the Azure AI Services Speech to Text API.

tools.azure_ai_services.text_analytics_for_health.AzureAiServicesTextAnalyticsForHealthTool

Tool that queries the Azure AI Services Text Analytics for Health API.

tools.azure_ai_services.text_to_speech.AzureAiServicesTextToSpeechTool

Tool that queries the Azure AI Services Text to Speech API.

tools.azure_cognitive_services.form_recognizer.AzureCogsFormRecognizerTool

Tool that queries the Azure Cognitive Services Form Recognizer API.

tools.azure_cognitive_services.image_analysis.AzureCogsImageAnalysisTool

Tool that queries the Azure Cognitive Services Image Analysis API.

tools.azure_cognitive_services.speech2text.AzureCogsSpeech2TextTool

Tool that queries the Azure Cognitive Services Speech2Text API.

tools.azure_cognitive_services.text2speech.AzureCogsText2SpeechTool

Tool that queries the Azure Cognitive Services Text2Speech API.

tools.azure_cognitive_services.text_analytics_health.AzureCogsTextAnalyticsHealthTool

Tool that queries the Azure Cognitive Services Text Analytics for Health API.

tools.bearly.tool.BearlyInterpreterTool(api_key)

Tool for evaluating python code in a sandbox environment.

tools.bearly.tool.BearlyInterpreterToolArguments

Arguments for the BearlyInterpreterTool.

tools.bearly.tool.FileInfo

Information about a file to be uploaded.

tools.bing_search.tool.BingSearchResults

Tool that queries the Bing Search API and gets back json.

tools.bing_search.tool.BingSearchRun

Tool that queries the Bing search API.

tools.brave_search.tool.BraveSearch

Tool that queries the BraveSearch.

tools.cassandra_database.tool.BaseCassandraDatabaseTool

Base tool for interacting with an Apache Cassandra database.

tools.cassandra_database.tool.GetSchemaCassandraDatabaseTool

Tool for getting the schema of a keyspace in an Apache Cassandra database.

tools.cassandra_database.tool.GetTableDataCassandraDatabaseTool

Tool for getting data from a table in an Apache Cassandra database.

tools.cassandra_database.tool.QueryCassandraDatabaseTool

Tool for querying an Apache Cassandra database with provided CQL.

tools.clickup.tool.ClickupAction

Tool that queries the Clickup API.

tools.cogniswitch.tool.CogniswitchKnowledgeRequest

Tool that uses the Cogniswitch service to answer questions.

tools.cogniswitch.tool.CogniswitchKnowledgeSourceFile

Tool that uses the Cogniswitch services to store data from file.

tools.cogniswitch.tool.CogniswitchKnowledgeSourceURL

Tool that uses the Cogniswitch services to store data from a URL.

tools.cogniswitch.tool.CogniswitchKnowledgeStatus

Tool that uses the Cogniswitch services to get the

tools.connery.models.Action

Connery Action model.

tools.connery.models.Parameter

Connery Action parameter model.

tools.connery.models.Validation

Connery Action parameter validation model.

tools.connery.service.ConneryService

Service for interacting with the Connery Runner API.

tools.connery.tool.ConneryAction

Connery Action tool.

tools.databricks.tool.UCFunctionToolkit

Create a new model by parsing and validating input data from keyword arguments.

tools.dataforseo_api_search.tool.DataForSeoAPISearchResults

Tool that queries the DataForSeo Google Search API and get back json.

tools.dataforseo_api_search.tool.DataForSeoAPISearchRun

Tool that queries the DataForSeo Google search API.

tools.dataherald.tool.DataheraldTextToSQL

Tool that queries using the Dataherald SDK.

tools.dataherald.tool.DataheraldTextToSQLInput

Create a new model by parsing and validating input data from keyword arguments.

tools.ddg_search.tool.DDGInput

Input for the DuckDuckGo search tool.

tools.ddg_search.tool.DuckDuckGoSearchResults

Tool that queries the DuckDuckGo search API and gets back json string.

tools.ddg_search.tool.DuckDuckGoSearchRun

Tool that queries the DuckDuckGo search API.

tools.e2b_data_analysis.tool.E2BDataAnalysisTool

Tool for running python code in a sandboxed environment for data analysis.

tools.e2b_data_analysis.tool.E2BDataAnalysisToolArguments

Arguments for the E2BDataAnalysisTool.

tools.e2b_data_analysis.tool.UploadedFile

Description of the uploaded path with its remote path.

tools.e2b_data_analysis.unparse.Unparser(tree)

Traverse an AST and output source code for the abstract syntax; original formatting is disregarded.

tools.edenai.audio_speech_to_text.EdenAiSpeechToTextTool

Tool that queries the Eden AI Speech To Text API.

tools.edenai.audio_text_to_speech.EdenAiTextToSpeechTool

Tool that queries the Eden AI Text to speech API.

tools.edenai.edenai_base_tool.EdenaiTool

the base tool for all the EdenAI Tools .

tools.edenai.image_explicitcontent.EdenAiExplicitImageTool

Tool that queries the Eden AI Explicit image detection.

tools.edenai.image_objectdetection.EdenAiObjectDetectionTool

Tool that queries the Eden AI Object detection API.

tools.edenai.ocr_identityparser.EdenAiParsingIDTool

Tool that queries the Eden AI Identity parsing API.

tools.edenai.ocr_invoiceparser.EdenAiParsingInvoiceTool

Tool that queries the Eden AI Invoice parsing API.

tools.edenai.text_moderation.EdenAiTextModerationTool

Tool that queries the Eden AI Explicit text detection.

tools.eleven_labs.models.ElevenLabsModel(value)

Models available for Eleven Labs Text2Speech.

tools.eleven_labs.text2speech.ElevenLabsModel(value)

Models available for Eleven Labs Text2Speech.

tools.eleven_labs.text2speech.ElevenLabsText2SpeechTool

Tool that queries the Eleven Labs Text2Speech API.

tools.file_management.copy.CopyFileTool

Tool that copies a file.

tools.file_management.copy.FileCopyInput

Input for CopyFileTool.

tools.file_management.delete.DeleteFileTool

Tool that deletes a file.

tools.file_management.delete.FileDeleteInput

Input for DeleteFileTool.

tools.file_management.file_search.FileSearchInput

Input for FileSearchTool.

tools.file_management.file_search.FileSearchTool

Tool that searches for files in a subdirectory that match a regex pattern.

tools.file_management.list_dir.DirectoryListingInput

Input for ListDirectoryTool.

tools.file_management.list_dir.ListDirectoryTool

Tool that lists files and directories in a specified folder.

tools.file_management.move.FileMoveInput

Input for MoveFileTool.

tools.file_management.move.MoveFileTool

Tool that moves a file.

tools.file_management.read.ReadFileInput

Input for ReadFileTool.

tools.file_management.read.ReadFileTool

Tool that reads a file.

tools.file_management.utils.BaseFileToolMixin

Mixin for file system tools.

tools.file_management.utils.FileValidationError

Error for paths outside the root directory.

tools.file_management.write.WriteFileInput

Input for WriteFileTool.

tools.file_management.write.WriteFileTool

Tool that writes a file to disk.

tools.github.tool.GitHubAction

Tool for interacting with the GitHub API.

tools.gitlab.tool.GitLabAction

Tool for interacting with the GitLab API.

tools.gmail.base.GmailBaseTool

Base class for Gmail tools.

tools.gmail.create_draft.CreateDraftSchema

Input for CreateDraftTool.

tools.gmail.create_draft.GmailCreateDraft

Tool that creates a draft email for Gmail.

tools.gmail.get_message.GmailGetMessage

Tool that gets a message by ID from Gmail.

tools.gmail.get_message.SearchArgsSchema

Input for GetMessageTool.

tools.gmail.get_thread.GetThreadSchema

Input for GetMessageTool.

tools.gmail.get_thread.GmailGetThread

Tool that gets a thread by ID from Gmail.

tools.gmail.search.GmailSearch

Tool that searches for messages or threads in Gmail.

tools.gmail.search.Resource(value)

Enumerator of Resources to search.

tools.gmail.search.SearchArgsSchema

Input for SearchGmailTool.

tools.gmail.send_message.GmailSendMessage

Tool that sends a message to Gmail.

tools.gmail.send_message.SendMessageSchema

Input for SendMessageTool.

tools.golden_query.tool.GoldenQueryRun

Tool that adds the capability to query using the Golden API and get back JSON.

tools.google_cloud.texttospeech.GoogleCloudTextToSpeechTool

[Deprecated] Tool that queries the Google Cloud Text to Speech API.

tools.google_finance.tool.GoogleFinanceQueryRun

Tool that queries the Google Finance API.

tools.google_jobs.tool.GoogleJobsQueryRun

Tool that queries the Google Jobs API.

tools.google_lens.tool.GoogleLensQueryRun

Tool that queries the Google Lens API.

tools.google_places.tool.GooglePlacesSchema

Input for GooglePlacesTool.

tools.google_places.tool.GooglePlacesTool

[Deprecated] Tool that queries the Google places API.

tools.google_scholar.tool.GoogleScholarQueryRun

Tool that queries the Google search API.

tools.google_search.tool.GoogleSearchResults

[Deprecated] Tool that queries the Google Search API and gets back json.

tools.google_search.tool.GoogleSearchRun

[Deprecated] Tool that queries the Google search API.

tools.google_serper.tool.GoogleSerperResults

Tool that queries the Serper.dev Google Search API and get back json.

tools.google_serper.tool.GoogleSerperRun

Tool that queries the Serper.dev Google search API.

tools.google_trends.tool.GoogleTrendsQueryRun

Tool that queries the Google trends API.

tools.graphql.tool.BaseGraphQLTool

Base tool for querying a GraphQL API.

tools.human.tool.HumanInputRun

Tool that asks user for input.

tools.ifttt.IFTTTWebhook

IFTTT Webhook.

tools.jira.tool.JiraAction

Tool that queries the Atlassian Jira API.

tools.json.tool.JsonGetValueTool

Tool for getting a value in a JSON spec.

tools.json.tool.JsonListKeysTool

Tool for listing keys in a JSON spec.

tools.json.tool.JsonSpec

Base class for JSON spec.

tools.memorize.tool.Memorize

Tool that trains a language model.

tools.memorize.tool.TrainableLLM(*args, **kwargs)

Protocol for trainable language models.

tools.merriam_webster.tool.MerriamWebsterQueryRun

Tool that searches the Merriam-Webster API.

tools.metaphor_search.tool.MetaphorSearchResults

[Deprecated] Tool that queries the Metaphor Search API and gets back json.

tools.mojeek_search.tool.MojeekSearch

Create a new model by parsing and validating input data from keyword arguments.

tools.multion.close_session.CloseSessionSchema

Input for UpdateSessionTool.

tools.multion.close_session.MultionCloseSession

Tool that closes an existing Multion Browser Window with provided fields.

tools.multion.create_session.CreateSessionSchema

Input for CreateSessionTool.

tools.multion.create_session.MultionCreateSession

Tool that creates a new Multion Browser Window with provided fields.

tools.multion.update_session.MultionUpdateSession

Tool that updates an existing Multion Browser Window with provided fields.

tools.multion.update_session.UpdateSessionSchema

Input for UpdateSessionTool.

tools.nasa.tool.NasaAction

Tool that queries the Atlassian Jira API.

tools.nuclia.tool.NUASchema

Input for Nuclia Understanding API.

tools.nuclia.tool.NucliaUnderstandingAPI

Tool to process files with the Nuclia Understanding API.

tools.office365.base.O365BaseTool

Base class for the Office 365 tools.

tools.office365.create_draft_message.CreateDraftMessageSchema

Input for SendMessageTool.

tools.office365.create_draft_message.O365CreateDraftMessage

Tool for creating a draft email in Office 365.

tools.office365.events_search.O365SearchEvents

Search calendar events in Office 365.

tools.office365.events_search.SearchEventsInput

Input for SearchEmails Tool.

tools.office365.messages_search.O365SearchEmails

Search email messages in Office 365.

tools.office365.messages_search.SearchEmailsInput

Input for SearchEmails Tool.

tools.office365.send_event.O365SendEvent

Tool for sending calendar events in Office 365.

tools.office365.send_event.SendEventSchema

Input for CreateEvent Tool.

tools.office365.send_message.O365SendMessage

Send an email in Office 365.

tools.office365.send_message.SendMessageSchema

Input for SendMessageTool.

tools.openai_dalle_image_generation.tool.OpenAIDALLEImageGenerationTool

Tool that generates an image using OpenAI DALLE.

tools.openapi.utils.api_models.APIOperation

A model for a single API operation.

tools.openapi.utils.api_models.APIProperty

A model for a property in the query, path, header, or cookie params.

tools.openapi.utils.api_models.APIPropertyBase

Base model for an API property.

tools.openapi.utils.api_models.APIPropertyLocation(value)

The location of the property.

tools.openapi.utils.api_models.APIRequestBody

A model for a request body.

tools.openapi.utils.api_models.APIRequestBodyProperty

A model for a request body property.

tools.openweathermap.tool.OpenWeatherMapQueryRun

Tool that queries the OpenWeatherMap API.

tools.passio_nutrition_ai.tool.NutritionAI

Tool that queries the Passio Nutrition AI API.

tools.passio_nutrition_ai.tool.NutritionAIInputs

Inputs to the Passio Nutrition AI tool.

tools.playwright.base.BaseBrowserTool

Base class for browser tools.

tools.playwright.click.ClickTool

Tool for clicking on an element with the given CSS selector.

tools.playwright.click.ClickToolInput

Input for ClickTool.

tools.playwright.current_page.CurrentWebPageTool

Tool for getting the URL of the current webpage.

tools.playwright.extract_hyperlinks.ExtractHyperlinksTool

Extract all hyperlinks on the page.

tools.playwright.extract_hyperlinks.ExtractHyperlinksToolInput

Input for ExtractHyperlinksTool.

tools.playwright.extract_text.ExtractTextTool

Tool for extracting all the text on the current webpage.

tools.playwright.get_elements.GetElementsTool

Tool for getting elements in the current web page matching a CSS selector.

tools.playwright.get_elements.GetElementsToolInput

Input for GetElementsTool.

tools.playwright.navigate.NavigateTool

Tool for navigating a browser to a URL.

tools.playwright.navigate.NavigateToolInput

Input for NavigateToolInput.

tools.playwright.navigate_back.NavigateBackTool

Navigate back to the previous page in the browser history.

tools.plugin.AIPlugin

AI Plugin Definition.

tools.plugin.AIPluginTool

Tool for getting the OpenAPI spec for an AI Plugin.

tools.plugin.AIPluginToolSchema

Schema for AIPluginTool.

tools.plugin.ApiConfig

API Configuration.

tools.polygon.aggregates.PolygonAggregates

Tool that gets aggregate bars (stock prices) over a given date range for a given ticker from Polygon.

tools.polygon.aggregates.PolygonAggregatesSchema

Input for PolygonAggregates.

tools.polygon.financials.Inputs

Inputs for Polygon's Financials API

tools.polygon.financials.PolygonFinancials

Tool that gets the financials of a ticker from Polygon

tools.polygon.last_quote.Inputs

Inputs for Polygon's Last Quote API

tools.polygon.last_quote.PolygonLastQuote

Tool that gets the last quote of a ticker from Polygon

tools.polygon.ticker_news.Inputs

Inputs for Polygon's Ticker News API

tools.polygon.ticker_news.PolygonTickerNews

Tool that gets the latest news for a given ticker from Polygon

tools.powerbi.tool.InfoPowerBITool

Tool for getting metadata about a PowerBI Dataset.

tools.powerbi.tool.ListPowerBITool

Tool for getting tables names.

tools.powerbi.tool.QueryPowerBITool

Tool for querying a Power BI Dataset.

tools.pubmed.tool.PubmedQueryRun

Tool that searches the PubMed API.

tools.reddit_search.tool.RedditSearchRun

Tool that queries for posts on a subreddit.

tools.reddit_search.tool.RedditSearchSchema

Input for Reddit search.

tools.requests.tool.BaseRequestsTool

Base class for requests tools.

tools.requests.tool.RequestsDeleteTool

Tool for making a DELETE request to an API endpoint.

tools.requests.tool.RequestsGetTool

Tool for making a GET request to an API endpoint.

tools.requests.tool.RequestsPatchTool

Tool for making a PATCH request to an API endpoint.

tools.requests.tool.RequestsPostTool

Tool for making a POST request to an API endpoint.

tools.requests.tool.RequestsPutTool

Tool for making a PUT request to an API endpoint.

tools.scenexplain.tool.SceneXplainInput

Input for SceneXplain.

tools.scenexplain.tool.SceneXplainTool

Tool that explains images.

tools.searchapi.tool.SearchAPIResults

Tool that queries the SearchApi.io search API and returns JSON.

tools.searchapi.tool.SearchAPIRun

Tool that queries the SearchApi.io search API.

tools.searx_search.tool.SearxSearchQueryInput

Input for the SearxSearch tool.

tools.searx_search.tool.SearxSearchResults

Tool that queries a Searx instance and gets back json.

tools.searx_search.tool.SearxSearchRun

Tool that queries a Searx instance.

tools.semanticscholar.tool.SemanticScholarQueryRun

Tool that searches the semanticscholar API.

tools.semanticscholar.tool.SemantscholarInput

Input for the SemanticScholar tool.

tools.shell.tool.ShellInput

Commands for the Bash Shell tool.

tools.shell.tool.ShellTool

Tool to run shell commands.

tools.slack.base.SlackBaseTool

Base class for Slack tools.

tools.slack.get_channel.SlackGetChannel

Tool that gets Slack channel information.

tools.slack.get_message.SlackGetMessage

Tool that gets Slack messages.

tools.slack.get_message.SlackGetMessageSchema

Input schema for SlackGetMessages.

tools.slack.schedule_message.ScheduleMessageSchema

Input for ScheduleMessageTool.

tools.slack.schedule_message.SlackScheduleMessage

Tool for scheduling a message in Slack.

tools.slack.send_message.SendMessageSchema

Input for SendMessageTool.

tools.slack.send_message.SlackSendMessage

Tool for sending a message in Slack.

tools.sleep.tool.SleepInput

Input for CopyFileTool.

tools.sleep.tool.SleepTool

Tool that adds the capability to sleep.

tools.spark_sql.tool.BaseSparkSQLTool

Base tool for interacting with Spark SQL.

tools.spark_sql.tool.InfoSparkSQLTool

Tool for getting metadata about a Spark SQL.

tools.spark_sql.tool.ListSparkSQLTool

Tool for getting tables names.

tools.spark_sql.tool.QueryCheckerTool

Use an LLM to check if a query is correct.

tools.spark_sql.tool.QuerySparkSQLTool

Tool for querying a Spark SQL.

tools.sql_database.tool.BaseSQLDatabaseTool

Base tool for interacting with a SQL database.

tools.sql_database.tool.InfoSQLDatabaseTool

Tool for getting metadata about a SQL database.

tools.sql_database.tool.ListSQLDatabaseTool

Tool for getting tables names.

tools.sql_database.tool.QuerySQLCheckerTool

Use an LLM to check if a query is correct.

tools.sql_database.tool.QuerySQLDataBaseTool

Tool for querying a SQL database.

tools.stackexchange.tool.StackExchangeTool

Tool that uses StackExchange

tools.steam.tool.SteamWebAPIQueryRun

Tool that searches the Steam Web API.

tools.steamship_image_generation.tool.ModelName(value)

Supported Image Models for generation.

tools.steamship_image_generation.tool.SteamshipImageGenerationTool

Tool used to generate images from a text-prompt.

tools.tavily_search.tool.TavilyAnswer

Tool that queries the Tavily Search API and gets back an answer.

tools.tavily_search.tool.TavilyInput

Input for the Tavily tool.

tools.tavily_search.tool.TavilySearchResults

Tool that queries the Tavily Search API and gets back json.

tools.vectorstore.tool.BaseVectorStoreTool

Base class for tools that use a VectorStore.

tools.vectorstore.tool.VectorStoreQATool

Tool for the VectorDBQA chain.

tools.vectorstore.tool.VectorStoreQAWithSourcesTool

Tool for the VectorDBQAWithSources chain.

tools.wikidata.tool.WikidataQueryRun

Tool that searches the Wikidata API.

tools.wikipedia.tool.WikipediaQueryInput

Input for the WikipediaQuery tool.

tools.wikipedia.tool.WikipediaQueryRun

Tool that searches the Wikipedia API.

tools.wolfram_alpha.tool.WolframAlphaQueryRun

Tool that queries using the Wolfram Alpha SDK.

tools.yahoo_finance_news.YahooFinanceNewsInput

Input for the YahooFinanceNews tool.

tools.yahoo_finance_news.YahooFinanceNewsTool

Tool that searches financial news on Yahoo Finance.

tools.you.tool.YouInput

Input schema for the you.com tool.

tools.you.tool.YouSearchTool

Tool that searches the you.com API.

tools.youtube.search.YouTubeSearchTool

Tool that queries YouTube.

tools.zapier.tool.ZapierNLAListActions

Returns a list of all exposed (enabled) actions associated with current user (associated with the set api_key).

tools.zapier.tool.ZapierNLARunAction

Executes an action that is identified by action_id, must be exposed

tools.zenguard.tools.Detector(value)

An enumeration.

tools.zenguard.tools.DetectorAPI(value)

An enumeration.

tools.zenguard.tools.ZenGuardInput

Create a new model by parsing and validating input data from keyword arguments.

tools.zenguard.tools.ZenGuardTool

Create a new model by parsing and validating input data from keyword arguments.

Functions¶

tools.ainetwork.utils.authenticate([network])

Authenticate using the AIN Blockchain

tools.amadeus.utils.authenticate()

Authenticate using the Amadeus API

tools.azure_ai_services.utils.detect_file_src_type(...)

Detect if the file is local or remote.

tools.azure_ai_services.utils.download_audio_from_url(...)

Download audio from url to local.

tools.azure_cognitive_services.utils.detect_file_src_type(...)

Detect if the file is local or remote.

tools.azure_cognitive_services.utils.download_audio_from_url(...)

Download audio from url to local.

tools.bearly.tool.file_to_base64(path)

Convert a file to base64.

tools.bearly.tool.head_file(path, n)

Get the first n lines of a file.

tools.bearly.tool.strip_markdown_code(md_string)

Strip markdown code from a string.

tools.ddg_search.tool.DuckDuckGoSearchTool(...)

Deprecated.

tools.e2b_data_analysis.tool.add_last_line_print(code)

Add print statement to the last line if it's missing.

tools.e2b_data_analysis.unparse.interleave(...)

Call f on each item in seq, calling inter() in between.

tools.e2b_data_analysis.unparse.roundtrip(...)

Parse a file and pretty-print it to output.

tools.file_management.utils.get_validated_relative_path(...)

Resolve a relative path, raising an error if not within the root directory.

tools.file_management.utils.is_relative_to(...)

Check if path is relative to root.

tools.gmail.utils.build_resource_service([...])

Build a Gmail service.

tools.gmail.utils.clean_email_body(body)

Clean email body.

tools.gmail.utils.get_gmail_credentials([...])

Get credentials.

tools.gmail.utils.import_google()

Import google libraries.

tools.gmail.utils.import_googleapiclient_resource_builder()

Import googleapiclient.discovery.build function.

tools.gmail.utils.import_installed_app_flow()

Import InstalledAppFlow class.

tools.interaction.tool.StdInInquireTool(...)

Tool for asking the user for input.

tools.office365.utils.authenticate()

Authenticate using the Microsoft Graph API

tools.office365.utils.clean_body(body)

Clean body of a message or event.

tools.playwright.base.lazy_import_playwright_browsers()

Lazy import playwright browsers.

tools.playwright.utils.aget_current_page(browser)

Asynchronously get the current page of the browser.

tools.playwright.utils.create_async_playwright_browser([...])

Create an async playwright browser.

tools.playwright.utils.create_sync_playwright_browser([...])

Create a playwright browser.

tools.playwright.utils.get_current_page(browser)

Get the current page of the browser.

tools.playwright.utils.run_async(coro)

Run an async coroutine.

tools.plugin.marshal_spec(txt)

Convert the yaml or json serialized spec to a dict.

tools.slack.utils.login()

Authenticate using the Slack API.

tools.steamship_image_generation.utils.make_image_public(...)

Upload a block to a signed URL and return the public URL.

langchain_community.utilities¶

Utilities are the integrations with third-part systems and packages.

Other LangChain classes use Utilities to interact with third-part systems and packages.

Classes¶

utilities.alpha_vantage.AlphaVantageAPIWrapper

Wrapper for AlphaVantage API for Currency Exchange Rate.

utilities.apify.ApifyWrapper

Wrapper around Apify.

utilities.arcee.ArceeDocument

Arcee document.

utilities.arcee.ArceeDocumentAdapter()

Adapter for Arcee documents

utilities.arcee.ArceeDocumentSource

Source of an Arcee document.

utilities.arcee.ArceeRoute(value)

Routes available for the Arcee API as enumerator.

utilities.arcee.ArceeWrapper(arcee_api_key, ...)

Wrapper for Arcee API.

utilities.arcee.DALMFilter

Filters available for a DALM retrieval and generation.

utilities.arcee.DALMFilterType(value)

Filter types available for a DALM retrieval as enumerator.

utilities.arxiv.ArxivAPIWrapper

Wrapper around ArxivAPI.

utilities.asknews.AskNewsAPIWrapper

Wrapper for AskNews API.

utilities.astradb.SetupMode(value)

Setup mode for AstraDBEnvironment as enumerator.

utilities.awslambda.LambdaWrapper

Wrapper for AWS Lambda SDK.

utilities.bibtex.BibtexparserWrapper

Wrapper around bibtexparser.

utilities.bing_search.BingSearchAPIWrapper

Wrapper for Bing Search API.

utilities.brave_search.BraveSearchWrapper

Wrapper around the Brave search engine.

utilities.cassandra.SetupMode(value)

An enumeration.

utilities.cassandra_database.CassandraDatabase([...])

Apache Cassandra¬ģ database wrapper.

utilities.cassandra_database.DatabaseError(message)

Exception raised for errors in the database schema.

utilities.cassandra_database.Table

Create a new model by parsing and validating input data from keyword arguments.

utilities.clickup.CUList(folder_id, name[, ...])

Component class for a list.

utilities.clickup.ClickupAPIWrapper

Wrapper for Clickup API.

utilities.clickup.Component()

Base class for all components.

utilities.clickup.Member(id, username, ...)

Component class for a member.

utilities.clickup.Space(id, name, private, ...)

Component class for a space.

utilities.clickup.Task(id, name, ...)

Class for a task.

utilities.clickup.Team(id, name, members)

Component class for a team.

utilities.dalle_image_generator.DallEAPIWrapper

Wrapper for OpenAI's DALL-E Image Generator.

utilities.dataforseo_api_search.DataForSeoAPIWrapper

Wrapper around the DataForSeo API.

utilities.dataherald.DataheraldAPIWrapper

Wrapper for Dataherald.

utilities.dria_index.DriaAPIWrapper(api_key)

Wrapper around Dria API.

utilities.duckduckgo_search.DuckDuckGoSearchAPIWrapper

Wrapper for DuckDuckGo Search API.

utilities.github.GitHubAPIWrapper

Wrapper for GitHub API.

utilities.gitlab.GitLabAPIWrapper

Wrapper for GitLab API.

utilities.golden_query.GoldenQueryAPIWrapper

Wrapper for Golden.

utilities.google_finance.GoogleFinanceAPIWrapper

Wrapper for SerpApi's Google Finance API

utilities.google_jobs.GoogleJobsAPIWrapper

Wrapper for SerpApi's Google Scholar API

utilities.google_lens.GoogleLensAPIWrapper

Wrapper for SerpApi's Google Lens API

utilities.google_places_api.GooglePlacesAPIWrapper

[Deprecated] Wrapper around Google Places API.

utilities.google_scholar.GoogleScholarAPIWrapper

Wrapper for Google Scholar API

utilities.google_search.GoogleSearchAPIWrapper

[Deprecated] Wrapper for Google Search API.

utilities.google_serper.GoogleSerperAPIWrapper

Wrapper around the Serper.dev Google Search API.

utilities.google_trends.GoogleTrendsAPIWrapper

Wrapper for SerpApi's Google Scholar API

utilities.graphql.GraphQLAPIWrapper

Wrapper around GraphQL API.

utilities.infobip.InfobipAPIWrapper

Wrapper for Infobip API for messaging.

utilities.jira.JiraAPIWrapper

Wrapper for Jira API.

utilities.max_compute.MaxComputeAPIWrapper(client)

Interface for querying Alibaba Cloud MaxCompute tables.

utilities.merriam_webster.MerriamWebsterAPIWrapper

Wrapper for Merriam-Webster.

utilities.metaphor_search.MetaphorSearchAPIWrapper

Wrapper for Metaphor Search API.

utilities.mojeek_search.MojeekSearchAPIWrapper

Create a new model by parsing and validating input data from keyword arguments.

utilities.nasa.NasaAPIWrapper

Wrapper for NASA API.

utilities.nvidia_riva.ASRInputType

alias of AudioStream

utilities.nvidia_riva.AudioStream([maxsize])

A message containing streaming audio.

utilities.nvidia_riva.NVIDIARivaASR

alias of RivaASR

utilities.nvidia_riva.NVIDIARivaStream

alias of AudioStream

utilities.nvidia_riva.NVIDIARivaTTS

alias of RivaTTS

utilities.nvidia_riva.RivaASR

A runnable that performs Automatic Speech Recognition (ASR) using NVIDIA Riva.

utilities.nvidia_riva.RivaAudioEncoding(value)

An enum of the possible choices for Riva audio encoding.

utilities.nvidia_riva.RivaAuthMixin

Configuration for the authentication to a Riva service connection.

utilities.nvidia_riva.RivaCommonConfigMixin

A collection of common Riva settings.

utilities.nvidia_riva.RivaTTS

A runnable that performs Text-to-Speech (TTS) with NVIDIA Riva.

utilities.nvidia_riva.SentinelT()

An empty Sentinel type.

utilities.openapi.HTTPVerb(value)

Enumerator of the HTTP verbs.

utilities.openapi.OpenAPISpec()

OpenAPI Model that removes mis-formatted parts of the spec.

utilities.openweathermap.OpenWeatherMapAPIWrapper

Wrapper for OpenWeatherMap API using PyOWM.

utilities.oracleai.OracleSummary(conn, params)

Get Summary :param conn: Oracle Connection, :param params: Summary parameters, :param proxy: Proxy

utilities.outline.OutlineAPIWrapper

Wrapper around OutlineAPI.

utilities.passio_nutrition_ai.ManagedPassioLifeAuth(...)

Manage the token for the NutritionAI API.

utilities.passio_nutrition_ai.NoDiskStorage()

Mixin to prevent storing on disk.

utilities.passio_nutrition_ai.NutritionAIAPI

Wrapper for the Passio Nutrition AI API.

utilities.pebblo.App

Pebblo AI application.

utilities.pebblo.Doc

Pebblo document.

utilities.pebblo.Framework

Pebblo Framework instance.

utilities.pebblo.IndexedDocument

Pebblo Indexed Document.

utilities.pebblo.Runtime

Pebblo Runtime.

utilities.polygon.PolygonAPIWrapper

Wrapper for Polygon API.

utilities.portkey.Portkey()

Portkey configuration.

utilities.powerbi.PowerBIDataset

Create PowerBI engine from dataset ID and credential or token.

utilities.pubmed.PubMedAPIWrapper

Wrapper around PubMed API.

utilities.reddit_search.RedditSearchAPIWrapper

Wrapper for Reddit API

utilities.redis.TokenEscaper([escape_chars_re])

Escape punctuation within an input string.

utilities.rememberizer.RememberizerAPIWrapper

Wrapper for Rememberizer APIs.

utilities.requests.GenericRequestsWrapper

Lightweight wrapper around requests library.

utilities.requests.JsonRequestsWrapper

Lightweight wrapper around requests library, with async support.

utilities.requests.Requests

Wrapper around requests to handle auth and async.

utilities.requests.RequestsWrapper

alias of TextRequestsWrapper

utilities.requests.TextRequestsWrapper

Lightweight wrapper around requests library, with async support.

utilities.scenexplain.SceneXplainAPIWrapper

Wrapper for SceneXplain API.

utilities.searchapi.SearchApiAPIWrapper

Wrapper around SearchApi API.

utilities.searx_search.SearxResults(data)

Dict like wrapper around search api results.

utilities.searx_search.SearxSearchWrapper

Wrapper for Searx API.

utilities.semanticscholar.SemanticScholarAPIWrapper

Wrapper around semanticscholar.org API.

utilities.serpapi.HiddenPrints()

Context manager to hide prints.

utilities.serpapi.SerpAPIWrapper

Wrapper around SerpAPI.

utilities.spark_sql.SparkSQL([...])

SparkSQL is a utility class for interacting with Spark SQL.

utilities.sql_database.SQLDatabase(engine[, ...])

SQLAlchemy wrapper around a database.

utilities.stackexchange.StackExchangeAPIWrapper

Wrapper for Stack Exchange API.

utilities.steam.SteamWebAPIWrapper

Wrapper for Steam API.

utilities.tavily_search.TavilySearchAPIWrapper

Wrapper for Tavily Search API.

utilities.tensorflow_datasets.TensorflowDatasets

Access to the TensorFlow Datasets.

utilities.twilio.TwilioAPIWrapper

Messaging Client using Twilio.

utilities.wikidata.WikidataAPIWrapper

Wrapper around the Wikidata API.

utilities.wikipedia.WikipediaAPIWrapper

Wrapper around WikipediaAPI.

utilities.wolfram_alpha.WolframAlphaAPIWrapper

Wrapper for Wolfram Alpha.

utilities.you.YouAPIOutput

Output from you.com API.

utilities.you.YouDocument

Output of parsing one snippet.

utilities.you.YouHit

A single hit from you.com, which may contain multiple snippets

utilities.you.YouHitMetadata

Metadata on a single hit from you.com

utilities.you.YouSearchAPIWrapper

Wrapper for you.com Search and News API.

utilities.zapier.ZapierNLAWrapper

Wrapper for Zapier NLA.

Functions¶

utilities.anthropic.get_num_tokens_anthropic(text)

Get the number of tokens in a string of text.

utilities.anthropic.get_token_ids_anthropic(text)

Get the token ids for a string of text.

utilities.cassandra.aexecute_cql(session, ...)

Execute a CQL query asynchronously.

utilities.cassandra.wrapped_response_future(...)

Wrap a Cassandra response future in an asyncio future.

utilities.clickup.extract_dict_elements_from_component_fields(...)

Extract elements from a dictionary.

utilities.clickup.fetch_data(url, access_token)

Fetch data from a URL.

utilities.clickup.fetch_first_id(data, key)

Fetch the first id from a dictionary.

utilities.clickup.fetch_folder_id(space_id, ...)

Fetch the folder id.

utilities.clickup.fetch_list_id(space_id, ...)

Fetch the list id.

utilities.clickup.fetch_space_id(team_id, ...)

Fetch the space id.

utilities.clickup.fetch_team_id(access_token)

Fetch the team id.

utilities.clickup.load_query(query[, ...])

Parse a JSON string and return the parsed object.

utilities.clickup.parse_dict_through_component(...)

Parse a dictionary by creating a component and then turning it back into a dictionary.

utilities.opaqueprompts.desanitize(...)

Restore the original sensitive data from the sanitized text.

utilities.opaqueprompts.sanitize(input)

Sanitize input string or dict of strings by replacing sensitive data with placeholders.

utilities.passio_nutrition_ai.is_http_retryable(rsp)

Check if a HTTP response is retryable.

utilities.pebblo.get_full_path(path)

Return an absolute local path for a local file/directory, for a network related path, return as is.

utilities.pebblo.get_ip()

Fetch local runtime ip address.

utilities.pebblo.get_loader_full_path(loader)

Return an absolute source path of source of loader based on the keys present in Document.

utilities.pebblo.get_loader_type(loader)

Return loader type among, file, dir or in-memory.

utilities.pebblo.get_runtime()

Fetch the current Framework and Runtime details.

utilities.powerbi.fix_table_name(table)

Add single quotes around table names that contain spaces.

utilities.powerbi.json_to_md(json_contents)

Convert a JSON object to a markdown table.

utilities.redis.check_redis_module_exist(...)

Check if the correct Redis modules are installed.

utilities.redis.get_client(redis_url, **kwargs)

Get a redis client from the connection url given.

utilities.sql_database.truncate_word(...[, ...])

Truncate a string to a certain number of words, based on the max string length.

utilities.vertexai.create_retry_decorator(llm, *)

Create a retry decorator for Vertex / Palm LLMs.

utilities.vertexai.get_client_info([module])

Return a custom user agent header.

utilities.vertexai.init_vertexai([project, ...])

Init Vertex AI.

utilities.vertexai.load_image_from_gcs(path)

Load an image from Google Cloud Storage.

utilities.vertexai.raise_vertex_import_error([...])

Raise ImportError related to Vertex SDK being not available.

langchain_community.utils¶

Utility functions for LangChain.

Classes¶

utils.ernie_functions.FunctionDescription

Representation of a callable function to the Ernie API.

utils.ernie_functions.ToolDescription

Representation of a callable function to the Ernie API.

Functions¶

utils.ernie_functions.convert_pydantic_to_ernie_function(...)

Convert a Pydantic model to a function description for the Ernie API.

utils.ernie_functions.convert_pydantic_to_ernie_tool(...)

Convert a Pydantic model to a function description for the Ernie API.

utils.google.get_client_info([module])

Return a custom user agent header.

utils.math.cosine_similarity(X, Y)

Row-wise cosine similarity between two equal-width matrices.

utils.math.cosine_similarity_top_k(X, Y[, ...])

Row-wise cosine similarity with optional top-k and score threshold filtering.

utils.openai.is_openai_v1()

Return whether OpenAI API is v1 or more.

utils.user_agent.get_user_agent()

Get user agent from environment variable.

langchain_community.vectorstores¶

Vector store stores embedded data and performs vector search.

One of the most common ways to store and search over unstructured data is to embed it and store the resulting embedding vectors, and then query the store and retrieve the data that are ‚Äėmost similar‚Äô to the embedded query.

Class hierarchy:

VectorStore --> <name>  # Examples: Annoy, FAISS, Milvus

BaseRetriever --> VectorStoreRetriever --> <name>Retriever  # Example: VespaRetriever

Main helpers:

Embeddings, Document

Classes¶

vectorstores.aerospike.Aerospike(client, ...)

Aerospike vector store.

vectorstores.alibabacloud_opensearch.AlibabaCloudOpenSearch(...)

Alibaba Cloud OpenSearch vector store.

vectorstores.alibabacloud_opensearch.AlibabaCloudOpenSearchSettings(...)

Alibaba Cloud Opensearch` client configuration.

vectorstores.analyticdb.AnalyticDB(...[, ...])

AnalyticDB (distributed PostgreSQL) vector store.

vectorstores.annoy.Annoy(embedding_function, ...)

Annoy vector store.

vectorstores.apache_doris.ApacheDoris(...[, ...])

Apache Doris vector store.

vectorstores.apache_doris.ApacheDorisSettings

Apache Doris client configuration.

vectorstores.astradb.AstraDB(*, embedding, ...)

[Deprecated]

vectorstores.atlas.AtlasDB(name[, ...])

Atlas vector store.

vectorstores.awadb.AwaDB([table_name, ...])

AwaDB vector store.

vectorstores.azure_cosmos_db.AzureCosmosDBVectorSearch(...)

Azure Cosmos DB for MongoDB vCore vector store.

vectorstores.azure_cosmos_db.CosmosDBSimilarityType(value)

Cosmos DB Similarity Type as enumerator.

vectorstores.azure_cosmos_db.CosmosDBVectorSearchType(value)

Cosmos DB Vector Search Type as enumerator.

vectorstores.azure_cosmos_db_no_sql.AzureCosmosDBNoSqlVectorSearch(*, ...)

Azure Cosmos DB for NoSQL vector store.

vectorstores.azuresearch.AzureSearch(...[, ...])

Azure Cognitive Search vector store.

vectorstores.azuresearch.AzureSearchVectorStoreRetriever

Retriever that uses Azure Cognitive Search.

vectorstores.bagel.Bagel([cluster_name, ...])

Bagel.net Inference platform.

vectorstores.baiducloud_vector_search.BESVectorStore(...)

Baidu Elasticsearch vector store.

vectorstores.baiduvectordb.BaiduVectorDB(...)

Baidu VectorDB as a vector store.

vectorstores.baiduvectordb.ConnectionParams(...)

Baidu VectorDB Connection params.

vectorstores.baiduvectordb.TableParams(dimension)

Baidu VectorDB table params.

vectorstores.bigquery_vector_search.BigQueryVectorSearch(...)

[Deprecated] Google Cloud BigQuery vector store.

vectorstores.cassandra.Cassandra(embedding)

Apache Cassandra(R) for vector-store workloads.

vectorstores.chroma.Chroma([...])

ChromaDB vector store.

vectorstores.clarifai.Clarifai([user_id, ...])

Clarifai AI vector store.

vectorstores.clickhouse.Clickhouse(embedding)

ClickHouse VectorSearch vector store.

vectorstores.clickhouse.ClickhouseSettings

ClickHouse client configuration.

vectorstores.couchbase.CouchbaseVectorStore(...)

[Deprecated] Couchbase Vector Store vector store.

vectorstores.dashvector.DashVector(...)

DashVector vector store.

vectorstores.databricks_vector_search.DatabricksVectorSearch(...)

Databricks Vector Search vector store.

vectorstores.deeplake.DeepLake([...])

Activeloop Deep Lake vector store.

vectorstores.dingo.Dingo(embedding, text_key, *)

Dingo vector store.

vectorstores.docarray.base.DocArrayIndex(...)

Base class for DocArray based vector stores.

vectorstores.docarray.hnsw.DocArrayHnswSearch(...)

HnswLib storage using DocArray package.

vectorstores.docarray.in_memory.DocArrayInMemorySearch(...)

In-memory DocArray storage for exact search.

vectorstores.documentdb.DocumentDBSimilarityType(value)

DocumentDB Similarity Type as enumerator.

vectorstores.documentdb.DocumentDBVectorSearch(...)

Amazon DocumentDB (with MongoDB compatibility) vector store.

vectorstores.duckdb.DuckDB(*[, connection, ...])

DuckDB vector store.

vectorstores.ecloud_vector_search.EcloudESVectorStore(...)

ecloud Elasticsearch vector store.

vectorstores.elastic_vector_search.ElasticKnnSearch(...)

[Deprecated] [DEPRECATED] Elasticsearch with k-nearest neighbor search (k-NN) vector store.

vectorstores.elastic_vector_search.ElasticVectorSearch(...)

[Deprecated] ElasticVectorSearch uses the brute force method of searching on vectors.

vectorstores.elasticsearch.ApproxRetrievalStrategy([...])

[Deprecated] Approximate retrieval strategy using the HNSW algorithm.

vectorstores.elasticsearch.BaseRetrievalStrategy()

Base class for Elasticsearch retrieval strategies.

vectorstores.elasticsearch.ElasticsearchStore(...)

[Deprecated] Elasticsearch vector store.

vectorstores.elasticsearch.ExactRetrievalStrategy(...)

[Deprecated] Exact retrieval strategy using the script_score query.

vectorstores.elasticsearch.SparseRetrievalStrategy([...])

[Deprecated] Sparse retrieval strategy using the text_expansion processor.

vectorstores.epsilla.Epsilla(client, embeddings)

Wrapper around Epsilla vector database.

vectorstores.faiss.FAISS(embedding_function, ...)

Meta Faiss vector store.

vectorstores.hanavector.HanaDB(connection, ...)

SAP HANA Cloud Vector Engine

vectorstores.hippo.Hippo(embedding_function)

Hippo vector store.

vectorstores.hologres.Hologres(...[, ndims, ...])

Hologres API vector store.

vectorstores.infinispanvs.Infinispan(**kwargs)

Helper class for Infinispan REST interface.

vectorstores.infinispanvs.InfinispanVS([...])

Infinispan VectorStore interface.

vectorstores.inmemory.InMemoryVectorStore(...)

In-memory implementation of VectorStore using a dictionary.

vectorstores.jaguar.Jaguar(pod, store, ...)

Jaguar API vector store.

vectorstores.kdbai.KDBAI(table, embedding[, ...])

KDB.AI vector store.

vectorstores.kinetica.Dimension(value)

Some default dimensions for known embeddings.

vectorstores.kinetica.DistanceStrategy(value)

Enumerator of the Distance strategies.

vectorstores.kinetica.Kinetica(config, ...)

Kinetica vector store.

vectorstores.kinetica.KineticaSettings

Kinetica client configuration.

vectorstores.lancedb.LanceDB([connection, ...])

LanceDB vector store.

vectorstores.lantern.BaseEmbeddingStore()

Base class for the Lantern embedding store.

vectorstores.lantern.DistanceStrategy(value)

Enumerator of the Distance strategies.

vectorstores.lantern.Lantern(...[, ...])

Postgres with the lantern extension as a vector store.

vectorstores.lantern.QueryResult()

Result from a query.

vectorstores.llm_rails.LLMRails([...])

Implementation of Vector Store using LLMRails.

vectorstores.llm_rails.LLMRailsRetriever

Retriever for LLMRails.

vectorstores.manticore_search.ManticoreSearch(...)

ManticoreSearch Engine vector store.

vectorstores.manticore_search.ManticoreSearchSettings

Create a new model by parsing and validating input data from keyword arguments.

vectorstores.marqo.Marqo(client, index_name)

Marqo vector store.

vectorstores.matching_engine.MatchingEngine(...)

[Deprecated] Google Vertex AI Vector Search (previously Matching Engine) vector store.

vectorstores.meilisearch.Meilisearch(embedding)

Meilisearch vector store.

vectorstores.milvus.Milvus(embedding_function)

[Deprecated] Milvus vector store.

vectorstores.momento_vector_index.MomentoVectorIndex(...)

Momento Vector Index (MVI) vector store.

vectorstores.mongodb_atlas.MongoDBAtlasVectorSearch(...)

[Deprecated] MongoDB Atlas Vector Search vector store.

vectorstores.myscale.MyScale(embedding[, config])

MyScale vector store.

vectorstores.myscale.MyScaleSettings

MyScale client configuration.

vectorstores.myscale.MyScaleWithoutJSON(...)

MyScale vector store without metadata column

vectorstores.neo4j_vector.IndexType(value)

Enumerator of the index types.

vectorstores.neo4j_vector.Neo4jVector(...[, ...])

Neo4j vector index.

vectorstores.neo4j_vector.SearchType(value)

Enumerator of the Distance strategies.

vectorstores.nucliadb.NucliaDB(...[, ...])

NucliaDB vector store.

vectorstores.opensearch_vector_search.OpenSearchVectorSearch(...)

Amazon OpenSearch Vector Engine vector store.

vectorstores.oraclevs.OracleVS(client, ...)

OracleVS vector store.

vectorstores.pathway.PathwayVectorClient([...])

VectorStore connecting to Pathway Vector Store.

vectorstores.pgembedding.BaseModel(**kwargs)

Base model for all SQL stores.

vectorstores.pgembedding.CollectionStore(...)

Collection store.

vectorstores.pgembedding.EmbeddingStore(**kwargs)

Embedding store.

vectorstores.pgembedding.PGEmbedding(...[, ...])

Postgres with the pg_embedding extension as a vector store.

vectorstores.pgembedding.QueryResult()

Result from a query.

vectorstores.pgvecto_rs.PGVecto_rs(...[, ...])

VectorStore backed by pgvecto_rs.

vectorstores.pgvector.BaseModel(**kwargs)

Base model for the SQL stores.

vectorstores.pgvector.DistanceStrategy(value)

Enumerator of the Distance strategies.

vectorstores.pgvector.PGVector(...[, ...])

[Deprecated] Postgres/PGVector vector store.

vectorstores.pinecone.Pinecone(index, ...[, ...])

[Deprecated] Pinecone vector store.

vectorstores.qdrant.Qdrant(client, ...[, ...])

[Deprecated] Qdrant vector store.

vectorstores.qdrant.QdrantException

Qdrant related exceptions.

vectorstores.redis.base.Redis(redis_url, ...)

Redis vector database.

vectorstores.redis.base.RedisVectorStoreRetriever

Retriever for Redis VectorStore.

vectorstores.redis.filters.RedisFilter()

Collection of RedisFilterFields.

vectorstores.redis.filters.RedisFilterExpression([...])

Logical expression of RedisFilterFields.

vectorstores.redis.filters.RedisFilterField(field)

Base class for RedisFilterFields.

vectorstores.redis.filters.RedisFilterOperator(value)

RedisFilterOperator enumerator is used to create RedisFilterExpressions.

vectorstores.redis.filters.RedisNum(field)

RedisFilterField representing a numeric field in a Redis index.

vectorstores.redis.filters.RedisTag(field)

RedisFilterField representing a tag in a Redis index.

vectorstores.redis.filters.RedisText(field)

RedisFilterField representing a text field in a Redis index.

vectorstores.redis.schema.FlatVectorField

Schema for flat vector fields in Redis.

vectorstores.redis.schema.HNSWVectorField

Schema for HNSW vector fields in Redis.

vectorstores.redis.schema.NumericFieldSchema

Schema for numeric fields in Redis.

vectorstores.redis.schema.RedisDistanceMetric(value)

Distance metrics for Redis vector fields.

vectorstores.redis.schema.RedisField

Base class for Redis fields.

vectorstores.redis.schema.RedisModel

Schema for Redis index.

vectorstores.redis.schema.RedisVectorField

Base class for Redis vector fields.

vectorstores.redis.schema.TagFieldSchema

Schema for tag fields in Redis.

vectorstores.redis.schema.TextFieldSchema

Schema for text fields in Redis.

vectorstores.relyt.Relyt(connection_string, ...)

Relyt (distributed PostgreSQL) vector store.

vectorstores.rocksetdb.Rockset(client, ...)

Rockset vector store.

vectorstores.scann.ScaNN(embedding, index, ...)

ScaNN vector store.

vectorstores.semadb.SemaDB(collection_name, ...)

SemaDB vector store.

vectorstores.singlestoredb.SingleStoreDB(...)

SingleStore DB vector store.

vectorstores.sklearn.BaseSerializer(persist_path)

Base class for serializing data.

vectorstores.sklearn.BsonSerializer(persist_path)

Serialize data in Binary JSON using the bson python package.

vectorstores.sklearn.JsonSerializer(persist_path)

Serialize data in JSON using the json package from python standard library.

vectorstores.sklearn.ParquetSerializer(...)

Serialize data in Apache Parquet format using the pyarrow package.

vectorstores.sklearn.SKLearnVectorStore(...)

Simple in-memory vector store based on the scikit-learn library NearestNeighbors.

vectorstores.sklearn.SKLearnVectorStoreException

Exception raised by SKLearnVectorStore.

vectorstores.sqlitevss.SQLiteVSS(table, ...)

SQLite with VSS extension as a vector database.

vectorstores.starrocks.StarRocks(embedding)

StarRocks vector store.

vectorstores.starrocks.StarRocksSettings

StarRocks client configuration.

vectorstores.supabase.SupabaseVectorStore(...)

Supabase Postgres vector store.

vectorstores.surrealdb.SurrealDBStore(...)

SurrealDB as Vector Store.

vectorstores.tair.Tair(embedding_function, ...)

Tair vector store.

vectorstores.tencentvectordb.ConnectionParams(...)

Tencent vector DB Connection params.

vectorstores.tencentvectordb.IndexParams(...)

Tencent vector DB Index params.

vectorstores.tencentvectordb.MetaField

MetaData Field for Tencent vector DB.

vectorstores.tencentvectordb.TencentVectorDB(...)

Tencent VectorDB as a vector store.

vectorstores.thirdai_neuraldb.NeuralDBClientVectorStore(db)

Vectorstore that uses ThirdAI's NeuralDB Enterprise Python Client for NeuralDBs.

vectorstores.thirdai_neuraldb.NeuralDBVectorStore(db)

Vectorstore that uses ThirdAI's NeuralDB.

vectorstores.tidb_vector.TiDBVectorStore(...)

TiDB Vector Store.

vectorstores.tigris.Tigris(client, ...)

Tigris vector store.

vectorstores.tiledb.TileDB(embedding, ...[, ...])

TileDB vector store.

vectorstores.timescalevector.TimescaleVector(...)

Timescale Postgres vector store

vectorstores.typesense.Typesense(...[, ...])

Typesense vector store.

vectorstores.upstash.UpstashVectorStore([...])

Upstash Vector vector store

vectorstores.usearch.USearch(embedding, ...)

USearch vector store.

vectorstores.utils.DistanceStrategy(value)

Enumerator of the Distance strategies for calculating distances between vectors.

vectorstores.vald.Vald(embedding[, host, ...])

Vald vector database.

vectorstores.vdms.VDMS(client, *[, ...])

Intel Lab's VDMS for vector-store workloads.

vectorstores.vearch.Vearch(embedding_function)

Initialize vearch vector store flag 1 for cluster,0 for standalone

vectorstores.vectara.MMRConfig([is_enabled, ...])

Configuration for Maximal Marginal Relevance (MMR) search.

vectorstores.vectara.RerankConfig([...])

Configuration for Reranker.

vectorstores.vectara.SummaryConfig([...])

Configuration for summary generation.

vectorstores.vectara.Vectara([...])

Vectara API vector store.

vectorstores.vectara.VectaraQueryConfig([k, ...])

Configuration for Vectara query.

vectorstores.vectara.VectaraRAG(vectara, config)

Vectara RAG runnable.

vectorstores.vectara.VectaraRetriever

Vectara Retriever class.

vectorstores.vespa.VespaStore(app[, ...])

Vespa vector store.

vectorstores.vikingdb.VikingDB(...[, ...])

vikingdb as a vector store

vectorstores.vikingdb.VikingDBConfig([host, ...])

vikingdb connection config

vectorstores.vlite.VLite(embedding_function)

VLite is a simple and fast vector database for semantic search.

vectorstores.weaviate.Weaviate(client, ...)

Weaviate vector store.

vectorstores.xata.XataVectorStore(api_key, ...)

Xata vector store.

vectorstores.yellowbrick.Yellowbrick(...[, ...])

Yellowbrick as a vector database.

vectorstores.zep.CollectionConfig(name, ...)

Configuration for a Zep Collection.

vectorstores.zep.ZepVectorStore(...[, ...])

Zep vector store.

vectorstores.zep_cloud.ZepCloudVectorStore(...)

Zep vector store.

vectorstores.zilliz.Zilliz(embedding_function)

Zilliz vector store.

Functions¶

vectorstores.alibabacloud_opensearch.create_metadata(fields)

Create metadata from fields.

vectorstores.annoy.dependable_annoy_import()

Import annoy if available, otherwise raise error.

vectorstores.clickhouse.has_mul_sub_str(s, *args)

Check if a string contains multiple substrings.

vectorstores.faiss.dependable_faiss_import([...])

Import faiss if available, otherwise raise error.

vectorstores.lancedb.import_lancedb()

Import lancedb package.

vectorstores.lancedb.to_lance_filter(filter)

Converts a dict filter to a LanceDB filter string.

vectorstores.lantern.get_embedding_store(...)

Get the embedding store class.

vectorstores.myscale.has_mul_sub_str(s, *args)

Check if a string contains multiple substrings.

vectorstores.neo4j_vector.check_if_not_null(...)

Check if the values are not None or empty string

vectorstores.neo4j_vector.collect_params(...)

Transform the input data into the desired format.

vectorstores.neo4j_vector.combine_queries(...)

Combine multiple queries with an operator.

vectorstores.neo4j_vector.construct_metadata_filter(filter)

Construct a metadata filter.

vectorstores.neo4j_vector.dict_to_yaml_str(...)

Convert a dictionary to a YAML-like string without using external libraries.

vectorstores.neo4j_vector.remove_lucene_chars(text)

Remove Lucene special characters

vectorstores.neo4j_vector.sort_by_index_name(...)

Sort first element to match the index_name if exists

vectorstores.oraclevs.create_index(client, ...)

Create an index on the vector store.

vectorstores.oraclevs.drop_index_if_exists(...)

Drop an index if it exists.

vectorstores.oraclevs.drop_table_purge(...)

Drop a table and purge it from the database.

vectorstores.qdrant.sync_call_fallback(method)

Decorator to call the synchronous method of the class if the async method is not implemented.

vectorstores.redis.base.check_index_exists(...)

Check if Redis index exists.

vectorstores.redis.filters.check_operator_misuse(func)

Decorator to check for misuse of equality operators.

vectorstores.redis.schema.read_schema(...)

Read in the index schema from a dict or yaml file.

vectorstores.scann.dependable_scann_import()

Import scann if available, otherwise raise error.

vectorstores.scann.normalize(x)

Normalize vectors to unit length.

vectorstores.starrocks.debug_output(s)

Print a debug message if DEBUG is True.

vectorstores.starrocks.get_named_result(...)

Get a named result from a query.

vectorstores.starrocks.has_mul_sub_str(s, *args)

Check if a string has multiple substrings.

vectorstores.tencentvectordb.translate_filter(...)

Translate LangChain filter to Tencent VectorDB filter.

vectorstores.tiledb.dependable_tiledb_import()

Import tiledb-vector-search if available, otherwise raise error.

vectorstores.tiledb.get_documents_array_uri(uri)

Get the URI of the documents array.

vectorstores.tiledb.get_documents_array_uri_from_group(group)

Get the URI of the documents array from group.

vectorstores.tiledb.get_vector_index_uri(uri)

Get the URI of the vector index.

vectorstores.tiledb.get_vector_index_uri_from_group(group)

Get the URI of the vector index.

vectorstores.usearch.dependable_usearch_import()

Import usearch if available, otherwise raise error.

vectorstores.utils.filter_complex_metadata(...)

Filter out metadata types that are not supported for a vector store.

vectorstores.utils.maximal_marginal_relevance(...)

Calculate maximal marginal relevance.

vectorstores.vdms.VDMS_Client([host, port])

VDMS client for the VDMS server.

vectorstores.vdms.embedding2bytes(embedding)

Convert embedding to bytes.