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langchain/docs/modules/chains/combine_docs_how_to.rst

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CombineDocuments Chains
-----------------------
A chain is made up of links, which can be either primitives or other chains.
Primitives can be either `prompts <../prompts.html>`_, `llms <../llms.html>`_, `utils <../utils.html>`_, or other chains.
The examples here are all end-to-end chains for working with documents.
`Question Answering <./combine_docs_examples/question_answering.html>`_: A walkthrough of how to use LangChain for question answering over specific documents.
`Question Answering with Sources <./combine_docs_examples/qa_with_sources.html>`_: A walkthrough of how to use LangChain for question answering (with sources) over specific documents.
`Summarization <./combine_docs_examples/summarize.html>`_: A walkthrough of how to use LangChain for summarization over specific documents.
`Vector DB Text Generation <./combine_docs_examples/vector_db_text_generation.html>`_: A walkthrough of how to use LangChain for text generation over a vector database.
`Vector DB Question Answering <./combine_docs_examples/vector_db_qa.html>`_: A walkthrough of how to use LangChain for question answering over a vector database.
`Vector DB Question Answering with Sources <./combine_docs_examples/vector_db_qa_with_sources.html>`_: A walkthrough of how to use LangChain for question answering (with sources) over a vector database.
`Graph Question Answering <./combine_docs_examples/graph_qa.html>`_: A walkthrough of how to use LangChain for question answering (with sources) over a graph database.
`Chat Vector DB <./combine_docs_examples/chat_vector_db.html>`_: A walkthrough of how to use LangChain as a chatbot over a vector database.
`Analyze Document <./combine_docs_examples/analyze_document.html>`_: A walkthrough of how to use LangChain to analyze long documents.
.. toctree::
:maxdepth: 1
:glob:
:caption: CombineDocument Chains
:name: combine_docs
:hidden:
./combine_docs_examples/*