This session provides practical strategies for improving the performance of Retrieval Augmented Generation (RAG) systems. We'll explore techniques for optimizing document processing, embedding generation, and knowledge search operations. The session covers practical implementations using popular services and libraries.

Topics include:
- Advanced chunking strategies and document preprocessing techniques
- Vector store guidance
- Hybrid retrieval approaches combining semantic and keyword search
- Graph-based retrieval techniques