Session 04: Giving AI Better Context

Description

Context Engineering & Hybrid Search: Building High-Precision Retrieval Systems AI systems are only as useful as the information they can find and understand. In this session, we explore how modern AI applications search through large amounts of information to find the right context at the right time. We will move beyond basic database searches and build a smarter search system that can understand both what users mean and the exact words they are looking for. In Session 04 of this series, we launch Module 2 (Context Engineering & Retrieval Systems). We move past naive vector lookups to architect a production-grade Hybrid Search Engine that combines dense semantic vector search with sparse keyword indexing (BM25), backed by real-time Semantic Caching. What We'll Cover The Hands-On Codelab Participants will build a practical search system that combines traditional keyword search with AI-powered semantic search. Together, we will: By the end of the session, participants will understand one of the most important ideas behind modern AI applications: AI doesn't just need a powerful model—it needs a reliable way to find the right information. Who Should Attend? Software developers, backend engineers, technical architects, and AI builders looking to upgrade from basic RAG to enterprise-grade context engineering.