THIS is how you build agentic RAG systems that work

Your RAG pipeline isn't failing because of bad prompts. It's failing because of bad context. In this video, Victoria breaks down the five systems that make up every agentic RAG pipeline that actually works in production. 1️⃣ Query Augmentation — translating messy human input into something your pipeline can actually use 2️⃣ Retrieval — chunking strategy alone can make or break your RAG performance 3️⃣ Memory — short-term vs long-term, and why just dumping history into context is a failure mode 4️⃣ Tools — most tool failures are context engineering failures in disguise 5️⃣ Agents — the orch