In this session, we'll explore the evolution of retrieval systems—from keyword search and vector databases to Graph RAG, Agentic RAG, and intelligent knowledge systems. We'll examine why retrieval is no longer just about finding relevant chunks of text, but about reasoning, planning, validating information, and dynamically deciding what knowledge is needed.

Through real-world examples and practical architectures, attendees will learn how modern AI agents retrieve, evaluate, and synthesize information to solve complex tasks that traditional RAG systems struggle with.

Whether you're building AI products, experimenting with LLMs, or curious about the future of knowledge-driven AI, this talk will provide a glimpse into the next generation of retrieval systems and what comes after RAG.

Key Takeaways:

Understand the strengths and limitations of traditional RAG

Explore Graph RAG and Agentic RAG architectures

Learn how AI agents use retrieval differently from chatbots

Discover emerging pattern