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Fix typo in agents tutorial #6649

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Aug 28, 2024
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Fix typo in agents tutorial #6649

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2 changes: 1 addition & 1 deletion docs/core_docs/docs/tutorials/agents.mdx
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Expand Up @@ -16,7 +16,7 @@ This guide assumes familiarity with the following concepts:

By themselves, language models can't take actions - they just output text.
A big use case for LangChain is creating **agents**.
Agents are systems that use an LLM as a reasoning enginer to determine which actions to take and what the inputs to those actions should be.
Agents are systems that use an LLM as a reasoning engine to determine which actions to take and what the inputs to those actions should be.
The results of those actions can then be fed back into the agent and it determine whether more actions are needed, or whether it is okay to finish.

In this tutorial we will build an agent that can interact with multiple different tools: one being a local database, the other being a search engine. You will be able to ask this agent questions, watch it call tools, and have conversations with it.
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