I put together four self contained notebooks exploring different ways to make a RAG pipeline more agentic.

Instead of retrieving once and immediately generating an answer this methods show patterns where the system can perform the following

* decide whether retrieval is needed * where to retrieve from * evaluate retrieved context * correct or retry when the context isn't sufficient * defer to a human

Each notebook focuses on a different pattern and is intended to be runnable and easy to experiment with.

The notebooks are free to explore on GitHub https://github.com/ChandulaSenevirathna/Agentic_RAG

I also put together a more complete version with all four implementations and explanations here https://chandula7.gumroad.com/l/Advanced_RAG_LangGraph_Patte...

Would be interested in feedback on which Agentic RAG pattern people are finding most useful in real projects.