Answered from AI Interview Questions #5 - Choose RAG or Agents? · Gaurav Sen · 2026-08-21
Gaurav Sen says agentic RAG is a combination: an agent sits in the middle, fetches real-time context through tool calls, and can treat a vector database as just another tool, choosing what context to fetch each time instead of following a predefined path. He finds it extremely similar to plain agents, calls the term confusing and useless, and jokes that it is mainly useful for a LinkedIn post.
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