From 8130fb71d24fde9b0bcd1a184c4f635388584c03 Mon Sep 17 00:00:00 2001
From: Lance Martin <122662504+rlancemartin@users.noreply.github.com>
Date: Wed, 15 May 2024 11:12:54 -0700
Subject: [PATCH] Update README.md

---
 recipes/use_cases/agents/langchain/README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/recipes/use_cases/agents/langchain/README.md b/recipes/use_cases/agents/langchain/README.md
index 241bd91f..3d59ce9b 100644
--- a/recipes/use_cases/agents/langchain/README.md
+++ b/recipes/use_cases/agents/langchain/README.md
@@ -22,9 +22,9 @@ As we move from option (1) to (3) the degree of customization and flexibility in
 
 ---
 
-### `Tool calling agent with AgentExecutor`
+### `ReAct agent`
 
-AgentExecutor is the runtime for an agent. AgentExecutor calls the agent, executes the actions it chooses, passes the action outputs back to the agent, and repeats.
+The AgentExecutor manages the loop of planning, executing tool calls, and processing outputs until an AgentFinish signal is generated, indicating task completion
 
 Our first notebook, `tool-calling-agent`, shows how to build a [tool calling agent](https://python.langchain.com/docs/modules/agents/agent_types/tool_calling/) with AgentExecutor and Llama 3.
 
-- 
GitLab