langchain/docs/modules/chains/combine_docs_how_to.rst

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/*