langchain.chains.combine_documents.stuff.create_stuff_documents_chain¶
- langchain.chains.combine_documents.stuff.create_stuff_documents_chain(llm: Runnable[Union[PromptValue, str, Sequence[Union[BaseMessage, List[str], Tuple[str, str], str, Dict[str, Any]]]], Union[BaseMessage, str]], prompt: BasePromptTemplate, *, output_parser: Optional[BaseOutputParser] = None, document_prompt: Optional[BasePromptTemplate] = None, document_separator: str = '\n\n') Runnable[Dict[str, Any], Any][source]¶
Create a chain for passing a list of Documents to a model.
- Parameters
llm (Runnable[Union[PromptValue, str, Sequence[Union[BaseMessage, List[str], Tuple[str, str], str, Dict[str, Any]]]], Union[BaseMessage, str]]) – Language model.
prompt (BasePromptTemplate) – Prompt template. Must contain input variable “context”, which will be used for passing in the formatted documents.
output_parser (Optional[BaseOutputParser]) – Output parser. Defaults to StrOutputParser.
document_prompt (Optional[BasePromptTemplate]) – Prompt used for formatting each document into a string. Input variables can be “page_content” or any metadata keys that are in all documents. “page_content” will automatically retrieve the Document.page_content, and all other inputs variables will be automatically retrieved from the Document.metadata dictionary. Default to a prompt that only contains Document.page_content.
document_separator (str) – String separator to use between formatted document strings.
- Returns
An LCEL Runnable. The input is a dictionary that must have a “context” key that maps to a List[Document], and any other input variables expected in the prompt. The Runnable return type depends on output_parser used.
- Return type
Runnable[Dict[str, Any], Any]
Example
# pip install -U langchain langchain-community from langchain_community.chat_models import ChatOpenAI from langchain_core.documents import Document from langchain_core.prompts import ChatPromptTemplate from langchain.chains.combine_documents import create_stuff_documents_chain prompt = ChatPromptTemplate.from_messages( [("system", "What are everyone's favorite colors:\n\n{context}")] ) llm = ChatOpenAI(model="gpt-3.5-turbo") chain = create_stuff_documents_chain(llm, prompt) docs = [ Document(page_content="Jesse loves red but not yellow"), Document(page_content = "Jamal loves green but not as much as he loves orange") ] chain.invoke({"context": docs})