In this live webinar, Matthew Penaroza (Head of Solutions Architecture, SurrealDB) shows how to design retrieval systems that maintain context as data and usage grow. You’ll learn how vectors and graphs work together to enforce structure, reduce search space, and explain why evidence was retrieved - not just that it was. This session focuses on retrieval quality and interpretability, not database internals.
Wednesday, January 21 at 8:00 PM GMT
Webinar
Vector RAG that actually understands context
Basic vector RAG breaks down as systems scale. Semantic similarity alone cannot enforce hierarchy, causality, or typed relationships - leading to degraded accuracy and opaque results over time.
About this webinar
Speakers
Matthew Penaroza
Head of Solution Architecture at SurrealDB
In this session you'll learn
Why vector-only RAG fails at scale (and why common fixes don’t solve it)
What “context” actually means in retrieval systems
How graph-based retrieval complements vectors
Implementing hybrid vector + graph retrieval in a single query
Producing retrieval traces that explain evidence selection
What to measure to avoid semantic collapse in production
