AI / Agentic AI Interview Questions
What is Agentic RAG?
Agentic RAG extends traditional RAG by letting an agent decide when, what, and how many times to retrieve, rather than performing one fixed retrieval step before every generation.
- The agent can reason about whether the retrieved content actually answers the question, and retrieve again if it doesn't
- Can combine retrieval with other tools, like calculations or API calls, within the same reasoning loop
- Supports multi-hop questions that require pulling information from several different sources before answering
The practical difference is that traditional RAG retrieves once and generates, while Agentic RAG treats retrieval as one tool among several that the agent's reasoning loop can invoke as many times as the task actually requires.
What can an Agentic RAG system decide that traditional RAG cannot?
What kind of questions does Agentic RAG handle better than fixed-pipeline RAG?
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