mirror of
https://github.com/hwchase17/langchain
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29 lines
1.5 KiB
ReStructuredText
29 lines
1.5 KiB
ReStructuredText
CombineDocuments Chains
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A chain is made up of links, which can be either primitives or other chains.
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Primitives can be either `prompts <../prompts.html>`_, `llms <../llms.html>`_, `utils <../utils.html>`_, or other chains.
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The examples here are all end-to-end chains for working with documents.
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`Question Answering <./combine_docs_examples/question_answering.html>`_: A walkthrough of how to use LangChain for question answering over specific documents.
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`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.
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`Summarization <./combine_docs_examples/summarize.html>`_: A walkthrough of how to use LangChain for summarization over specific documents.
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`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.
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`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.
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`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.
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.. toctree::
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:maxdepth: 1
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:glob:
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:caption: CombineDocument Chains
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:name: combine_docs
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:hidden:
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./combine_docs_examples/*
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