Docs for adaptive RAG have incorrect examples

[kenchambers]

Greetings!

Thank you so much for your contribution on implementing adaptive Rag in langgraph.

I noticed in this document: https://langchain-ai.github.io/langgraphjs/tutorials/rag/langgraph_adaptive_rag_local/

The first example of invoking the graph, is supposed to reroute to the actual documents loaded, which is expected behavior but in the example terminal response, it says it's routing to WEB_SEARCH, which is actually incorrect.

I ran through this entire tutorial and actually this was the same behavior i got using gemini as well so i was hoping the team could shed light on why it is actually rerouting to websearch, instead of routing to the documents correctly.

I can include my code if necessary. thanks again.

I'm obviously still very new to this, so if my expectations are incorrect please enlighten me!

[kenchambers]

I was able to pass: llm agent memory, an example given earlier in the document during the route question code, and this seemed to properly route it to the vector store memory.