Optimizing RAG Performance: Advanced Techniques from Reranking to Query Planning

Want to level up your Retrieval-Augmented Generation (RAG) game?

Join us for a deep dive into advanced strategies that push your RAG systems beyond the basics. In this hands-on session, we'll explore practical, battle-tested techniques to optimize performance and precision in AI-driven search and generation.

You'll learn how to:

• Use reranking to prioritize the most relevant results
• Apply semantic caching for blazing-fast responses
• Leverage metadata filtering to boost contextual accuracy
• Master query planning and Chain of Thought (CoT) for tackling complex queries like a pro

Whether you're building LLM-powered apps or scaling search systems, this talk is packed with insights to help you craft faster, smarter, and more intelligent RAG workflows.

Perfect for: AI engineers, data scientists, and NLP enthusiasts who want to stay ahead of the curve.