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985496f4be
Big docs refactor! Motivation is to make it easier for people to find resources they are looking for. To accomplish this, there are now three main sections: - Getting Started: steps for getting started, walking through most core functionality - Modules: these are different modules of functionality that langchain provides. Each part here has a "getting started", "how to", "key concepts" and "reference" section (except in a few select cases where it didnt easily fit). - Use Cases: this is to separate use cases (like summarization, question answering, evaluation, etc) from the modules, and provide a different entry point to the code base. There is also a full reference section, as well as extra resources (glossary, gallery, etc) Co-authored-by: Shreya Rajpal <ShreyaR@users.noreply.github.com>
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22 lines
999 B
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Utilities for working with Documents
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====================================
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There are a lot of different utilities that LangChain provides integrations for
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These guides go over how to use them.
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The utilities here are all utilities that make it easier to work with documents.
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`Text Splitters <combine_docs_examples/textsplitter.html>`_: A walkthrough of how to split large documents up into smaller, more manageable pieces of text.
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`VectorStores <combine_docs_examples/vectorstores.html>`_: A walkthrough of vectorstore functionalities, and different types of vectorstores, that LangChain supports.
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`Embeddings <combine_docs_examples/embeddings.html>`_: A walkthrough of embedding functionalities, and different types of embeddings, that LangChain supports.
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`HyDE <combine_docs_examples/hyde.html>`_: How to use Hypothetical Document Embeddings, a novel way of constructing embeddings for document retrieval systems.
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.. toctree::
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:maxdepth: 1
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:glob:
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:hidden:
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combine_docs_examples/*
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