Agentic Search for Context Engineering — Leonie Monigatti, Elastic

AI Engineer · Intermediate ·🔍 RAG & Vector Search ·5d ago
Skills: RAG Basics90%
Getting context into an LLM is not just a retrieval problem. It is a search problem. This workshop digs into the part of context engineering that usually gets waved away: how agents actually decide what to pull from files, databases, memory, and the web, and why that choice often matters more than the model itself. Across semantic search, general-purpose database tools, shell-based retrieval, and agent skills, Leonie Monigatti shows where each search interface works, where it breaks, and how to combine them into a more effective retrieval stack. If you're building agents and trying to make retrieval less brittle, this is a practical guide to the real mechanics behind agentic search. Speaker info: - https://x.com/helloiamleonie - https://www.linkedin.com/in/804250ab/
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