Key Insights You'll Gain
Understand vector databases and hybrid search and how contextual retrieval works and why combining dense and keyword search improves production performance.
Decompose complex user queries into multiple targeted sub-queries to retrieve more accurate and relevant information.
Design intent-based multi-agent systems where specialized agents handle different user needs and coordinate through an orchestrator.
Evaluate and improve RAG systems using lightweight workflows to measure retrieval quality and system performance.
Meet Our World-Class Speaker
ScottĀ Askinosie
M.S., Ph. D. - Developer Advocate, Contextual AI
Scott Askinosie is an expert AI educator and developer advocate specializing in context engineering and agentic systems, with deep experience teaching developers how to build production-ready AI applications using vector databases and RAG architectures.