forked from Archives/langchain
53 lines
1.2 KiB
ReStructuredText
53 lines
1.2 KiB
ReStructuredText
Agents
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==========================
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.. note::
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`Conceptual Guide <https://docs.langchain.com/docs/components/agents>`_
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Some applications will require not just a predetermined chain of calls to LLMs/other tools,
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but potentially an unknown chain that depends on the user's input.
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In these types of chains, there is a “agent” which has access to a suite of tools.
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Depending on the user input, the agent can then decide which, if any, of these tools to call.
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In this section of documentation, we first start with a Getting Started notebook to cover how to use all things related to agents in an end-to-end manner.
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.. toctree::
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:maxdepth: 1
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:hidden:
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./agents/getting_started.ipynb
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We then split the documentation into the following sections:
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**Tools**
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An overview of the various tools LangChain supports.
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**Agents**
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An overview of the different agent types.
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**Toolkits**
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An overview of toolkits, and examples of the different ones LangChain supports.
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**Agent Executor**
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An overview of the Agent Executor class and examples of how to use it.
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Go Deeper
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---------
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.. toctree::
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:maxdepth: 1
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./agents/tools.rst
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./agents/agents.rst
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./agents/toolkits.rst
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./agents/agent_executors.rst
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