forked from Archives/langchain
77e3d58922
…marization prompt to maintain a key-value store of memory information cc @devennavani Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
31 lines
1.3 KiB
ReStructuredText
31 lines
1.3 KiB
ReStructuredText
How-To Guides
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=============
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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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`Entity Memory <./examples/entity_summary_memory.html>`_: How to use a type of memory that organizes information by entity.
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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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`Conversation Agent <./examples/conversational_agent.html>`_: Example of a conversation agent, which combines memory with agents and a conversation focused prompt.
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`Multiple Memory <./examples/multiple_memory.html>`_: How to use multiple types of memory in the same chain.
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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/* |