mirror of
https://github.com/hwchase17/langchain
synced 2024-10-31 15:20:26 +00:00
29 lines
1.5 KiB
ReStructuredText
29 lines
1.5 KiB
ReStructuredText
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.
|
|
|
|
|
|
.. toctree::
|
|
:maxdepth: 1
|
|
:glob:
|
|
:caption: CombineDocument Chains
|
|
:name: combine_docs
|
|
:hidden:
|
|
|
|
./combine_docs_examples/*
|