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Agents
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======
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The examples here are all end-to-end agents for specific applications.
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In all examples there is an Agent with a particular set of tools.
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- Tools: A tool can be anything that takes in a string and returns a string. This means that you can use both the primitives AND the chains found in `this <chains.rst>`_ documentation. LangChain also provides a list of easily loadable tools. For detailed information on those, please see `this documentation <../explanation/tools.md>`_
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- Agents: An agent uses an LLMChain to determine which tools to use. For a list of all available agent types, see `here <../explanation/agents.md>`_.
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**MRKL**
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- **Tools used**: Search, SQLDatabaseChain, LLMMathChain
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- **Agent used**: `zero-shot-react-description`
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- `Paper <https://arxiv.org/pdf/2205.00445.pdf>`_
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- **Note**: This is the most general purpose example, so if you are looking to use an agent with arbitrary tools, please start here.
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- `Example Notebook <agents/mrkl.ipynb>`_
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**Self-Ask-With-Search**
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- **Tools used**: Search
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- **Agent used**: `self-ask-with-search`
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- `Paper <https://ofir.io/self-ask.pdf>`_
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- `Example Notebook <agents/self_ask_with_search.ipynb>`_
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**ReAct**
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- **Tools used**: Wikipedia Docstore
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- **Agent used**: `react-docstore`
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- `Paper <https://arxiv.org/pdf/2210.03629.pdf>`_
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- `Example Notebook <agents/react.ipynb>`_
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Additionally, we also provide examples for how to do more customizability:
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**Custom Agent**
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- Purpose: How to create custom agents.
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- `Example Notebook <agents/custom_agent.ipynb>`_
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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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agents/* |