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33 lines
1.3 KiB
ReStructuredText
Memory
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By default, Chains and Agents are stateless,
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meaning that they treat each incoming query independently (as are the underlying LLMs and chat models).
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In some applications (chatbots being a GREAT example) it is highly important
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to remember previous interactions, both at a short term but also at a long term level.
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The concept of “Memory” exists to do exactly that.
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LangChain provides memory components in two forms.
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First, LangChain provides helper utilities for managing and manipulating previous chat messages.
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These are designed to be modular and useful regardless of how they are used.
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Secondly, LangChain provides easy ways to incorporate these utilities into chains.
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The following sections of documentation are provided:
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- `Getting Started <./memory/getting_started.html>`_: An overview of how to get started with different types of memory.
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- `Key Concepts <./memory/key_concepts.html>`_: A conceptual guide going over the various concepts related to memory.
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- `How-To Guides <./memory/how_to_guides.html>`_: A collection of how-to guides. These highlight different types of memory, as well as how to use memory in chains.
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.. toctree::
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:maxdepth: 1
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:caption: Memory
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:name: Memory
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./memory/getting_started.ipynb
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./memory/key_concepts.rst
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./memory/how_to_guides.rst
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