From 988805d60b1a7ce772d449c6020de2a8b606800f Mon Sep 17 00:00:00 2001 From: Diw Date: Thu, 15 May 2025 23:11:17 +0530 Subject: [PATCH] fix link to examples page in readme.md --- libs/langgraph/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/libs/langgraph/README.md b/libs/langgraph/README.md index 1500608d5..bfd73056e 100644 --- a/libs/langgraph/README.md +++ b/libs/langgraph/README.md @@ -74,7 +74,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L - [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.). - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components. -- [Examples](https://langchain-ai.github.io/langgraph/tutorials/): Guided examples on getting started with LangGraph. +- [Examples](https://langchain-ai.github.io/langgraph/tutorials/introduction): Guided examples on getting started with LangGraph. - [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course. - [Templates](https://langchain-ai.github.io/langgraph/concepts/template_applications/): Pre-built reference apps for common agentic workflows (e.g. ReAct agent, memory, retrieval etc.) that can be cloned and adapted. - [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship powerful, production-ready AI applications.