forked from Archives/langchain
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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888 B
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24 lines
888 B
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How-To Guides
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The examples here all highlight how to use memory in different ways.
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`Adding Memory <examples/adding_memory.html>`_: How to add a memory component to any single input chain.
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`ChatGPT Clone <examples/chatgpt_clone.html>`_: How to recreate ChatGPT with LangChain prompting + memory components.
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`Adding Memory to Multi-Input Chain <examples/adding_memory_chain_multiple_inputs.html>`_: How to add a memory component to any multiple input chain.
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`Conversational Memory Customization <examples/conversational_customization.html>`_: How to customize existing conversation memory components.
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`Custom Memory <examples/custom_memory.html>`_: How to write your own custom memory component.
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`Adding Memory to Agents <examples/agent_with_memory.html>`_: How to add a memory component to any agent.
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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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examples/* |