From a89a6d91d99c28a9b412788f487638ca5268d4f4 Mon Sep 17 00:00:00 2001 From: Kevin Simons Date: Wed, 28 Aug 2024 10:20:54 +0200 Subject: [PATCH] Fix typo in agents tutorial --- docs/core_docs/docs/tutorials/agents.mdx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/core_docs/docs/tutorials/agents.mdx b/docs/core_docs/docs/tutorials/agents.mdx index 6176affc1a07..201339008d9d 100644 --- a/docs/core_docs/docs/tutorials/agents.mdx +++ b/docs/core_docs/docs/tutorials/agents.mdx @@ -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.