langchain_google_vertexai
1.0.3¶
langchain_google_vertexai.callbacks
¶
Classes¶
Callback Handler that tracks VertexAI info. |
langchain_google_vertexai.chains
¶
Functions¶
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Create a runnable sequence that uses OpenAI functions. |
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Get the appropriate function output parser given the user functions. |
langchain_google_vertexai.chat_models
¶
Wrapper around Google VertexAI chat-based models.
Classes¶
Vertex AI Chat large language models API. |
langchain_google_vertexai.embeddings
¶
Classes¶
An enumeration. |
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Google Cloud VertexAI embedding models. |
langchain_google_vertexai.functions_utils
¶
Classes¶
This is a schema of currently supported definitions in function calling. |
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Parse an output as a pydantic object. |
langchain_google_vertexai.gemma
¶
Classes¶
Create a new model by parsing and validating input data from keyword arguments. |
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Needed for mypy typing to recognize model_name as a valid arg. |
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Needed for mypy typing to recognize model_name as a valid arg. |
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Local gemma model loaded from HuggingFace. |
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Local gemma chat model loaded from Kaggle. |
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Create a new model by parsing and validating input data from keyword arguments. |
Functions¶
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Converts a list of messages to a chat prompt for Gemma. |
langchain_google_vertexai.llms
¶
Classes¶
Google Vertex AI large language models. |
langchain_google_vertexai.model_garden
¶
Classes¶
Create a new model by parsing and validating input data from keyword arguments. |
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Large language models served from Vertex AI Model Garden. |
langchain_google_vertexai.vectorstores
¶
Classes¶
Stores documents in Google Cloud DataStore. |
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Abstract interface of a key, text storage for retrieving documents. |
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Stores documents in Google Cloud Storage. |
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VertexAI VectorStore that handles the search and indexing using Vector Search and stores the documents in Google Cloud Storage. |
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VectorSearch with DatasTore document storage. |
Alias of VectorSearchVectorStore for consistency with the rest of vector stores with different document storage backends. |
langchain_google_vertexai.vision_models
¶
Classes¶
Implementation of the Image Captioning model as an LLM. |
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Implementation of the Image Captioning model as a chat. |
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Given an image and a prompt, edits the image. |
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Generates an image from a prompt. |
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Chat implementation of a visual QnA model |