Here is my Agentic RAG agent notebook

I linked my Agentic RAG notebook because it’s the fastest way to reproduce what I demoed: load docs, test different native search strategies, then wire it into LangChain and LangGraph agents. It’s a practical template you can fork and adapt to your own data. I submitted it as a PR to Oracle’s AI Developer Hub and it got approved, so it’s meant to be run by other builders.

Pros

+Runnable end-to-end example of agentic RAG
+Demonstrates multiple retrieval strategies and how to route between them
+Good starting point for adapting to your own documents

Cons

-It’s a template—you’ll still need to customize it for your schema, docs, and evaluation
-You need a working environment setup to run the notebook smoothly

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Here is my Agentic RAG agent notebook

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Highlights

+Runnable end-to-end example of agentic RAG
+Demonstrates multiple retrieval strategies and how to route between them
+Good starting point for adapting to your own documents

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Cole Medin