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Live Retrieval vs. RAG: What an Agent Actually Does

When you skip the traditional RAG database and let an AI agent fetch documents live, are you just creating a disposable vector store every time? A listener question from Daniel digs into this exact intuition. We break down what’s actually happening under the hood — from the transformer’s key-value cache to HNSW indexes — and explore the real engineering tradeoffs: maintenance burden vs. retrieval precision, latency vs. correctness guarantees, and why architectural regulations make a perfect test case. If you’ve ever wondered whether live retrieval is just lazy engineering or a smarter…

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