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big docs refactor (#1978)
Co-authored-by: Ankush Gola <ankush.gola@gmail.com>
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@@ -1,30 +1,52 @@
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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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The following sections of documentation are provided:
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- `Getting Started <./agents/getting_started.html>`_: A notebook to help you get started working with agents as quickly as possible.
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- `Key Concepts <./agents/key_concepts.html>`_: A conceptual guide going over the various concepts related to agents.
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- `How-To Guides <./agents/how_to_guides.html>`_: A collection of how-to guides. These highlight how to integrate various types of tools, how to work with different types of agents, and how to customize agents.
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- `Reference <../reference/modules/agents.html>`_: API reference documentation for all Agent classes.
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In this section of documentation, we first start with a Getting Started notebook to over over 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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:caption: Agents
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:name: Agents
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:hidden:
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./agents/getting_started.ipynb
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./agents/key_concepts.md
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./agents/how_to_guides.rst
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Reference<../reference/modules/agents.rst>
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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/agent_toolkits.rst
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./agents/agent_executors.rst
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