[{"@context":"https:\/\/schema.org\/","@type":"BlogPosting","@id":"https:\/\/blog.terabox.com\/insights\/agentic-search-for-context-engineering-leonie-monigatti#BlogPosting","mainEntityOfPage":"https:\/\/blog.terabox.com\/insights\/agentic-search-for-context-engineering-leonie-monigatti","headline":"Agentic Search for Context Engineering \u2014 Leonie Monigatti","name":"Agentic Search for Context Engineering \u2014 Leonie Monigatti","description":"\ud83d\udcfa Today&#8217;s recommended deep-dive video: https:\/\/www.youtube.com\/watch?v=ynJyIKwjonM Beyond Basic RAG: Mastering Agentic Search for Context EngineeringThe Evolution of Context RetrievalMastering the Search Tool StackBridging the Reliability GapKey TakeawaysQ&amp;A Beyond Basic RAG: Mastering Agentic Search for Context Engineering Most developers treat context... 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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.\n\nAcross 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. 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