A practical deep-dive into advanced Retrieval-Augmented Generation (RAG) techniques.

Simple retrieval works but it’s not enough for real-world systems.

This talk shows how to improve RAG using techniques like
- query expansion,
- cross-encoder re-ranking,
- metadata filtering,
- prompt compression,
and more.

All concepts will be explained in very simple language, with a clear focus on making LLM responses more accurate, reliable, and production-ready.

This would be an intermediate session, and the prerequisite is the basic knowledge of RAG