Session 04: Giving AI Better Context
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
How AI Search Works: Understanding how AI turns text into searchable representations and finds information based on meaning.
Smarter Search: Combining traditional keyword search with AI-powered semantic search to produce better results.
Finding the Best Results: Exploring how search systems compare and rank results to surface the most useful information.
Faster AI Responses: Understanding how caching can make frequently requested information faster to retrieve while reducing unnecessary AI processing.
Keeping Data Secure: Learning how search systems can ensure users only retrieve information they are authorized to access.
The Hands-On Codelab
Participants will build a practical search system that combines traditional keyword search with AI-powered semantic search.
Together, we will:
Turn application data into searchable AI representations.
Build a search system that understands both keywords and meaning.
Combine results from different search methods to improve relevance.
Add caching to make repeated searches faster.
Apply access controls to ensure users only receive information they are allowed to see.
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.