tjr FddlmZddlmZddlmZmZddlmZm Z d d Z d S)) annotations)Any) BaseRetrieverRetrieverOutput)RunnableRunnablePassthrough retriever/BaseRetriever | Runnable[dict, RetrieverOutput]combine_docs_chainRunnable[dict[str, Any], str]returnrct|ts|}nd|z}tj|d|dS)a\Create retrieval chain that retrieves documents and then passes them on. Args: retriever: Retriever-like object that returns list of documents. Should either be a subclass of BaseRetriever or a Runnable that returns a list of documents. If a subclass of BaseRetriever, then it is expected that an `input` key be passed in - this is what is will be used to pass into the retriever. If this is NOT a subclass of BaseRetriever, then all the inputs will be passed into this runnable, meaning that runnable should take a dictionary as input. combine_docs_chain: Runnable that takes inputs and produces a string output. The inputs to this will be any original inputs to this chain, a new context key with the retrieved documents, and chat_history (if not present in the inputs) with a value of `[]` (to easily enable conversational retrieval. Returns: An LCEL Runnable. The Runnable return is a dictionary containing at the very least a `context` and `answer` key. Example: ```python # pip install -U langchain langchain-openai from langchain_openai import ChatOpenAI from langchain_classic.chains.combine_documents import ( create_stuff_documents_chain, ) from langchain_classic.chains import create_retrieval_chain from langchain_classic import hub retrieval_qa_chat_prompt = hub.pull("langchain-ai/retrieval-qa-chat") model = ChatOpenAI() retriever = ... combine_docs_chain = create_stuff_documents_chain( model, retrieval_qa_chat_prompt ) retrieval_chain = create_retrieval_chain(retriever, combine_docs_chain) retrieval_chain.invoke({"input": "..."}) ``` c|dS)Ninput)xs `/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/langchain_classic/chains/retrieval.pyz(create_retrieval_chain..>s AgJretrieve_documents)run_name)context)answerretrieval_chain) isinstancerrassign with_config)r r retrieval_docss rcreate_retrieval_chainr s|^ i / /<:C..); ""..8L.MM   &*& + +k,k-- .rN)r r r r r r) __future__rtypingrlangchain_core.retrieversrrlangchain_core.runnablesrrrrrrr$s""""""CBBBBBBB8.8.8.8.8.8.r