advanced~4h
Agentic RAG: Architecture & 12-Step Workflow
The specific 12-step agentic RAG blueprint — query rewriting, a 'need more detail?' decision, source selection across vector DB/tools/internet, and a relevance-checking retry loop — that fixes traditional RAG's retrieve-once, reason-never limitations.
Agentic RAG — 12-Step Workflow (distilled)
A query passes through specialist agents rather than a single fixed retrieval step. The Detail-Need Decision Agent can skip retrieval entirely; the Relevance-Checking Agent can loop the whole thing back for another attempt (bounded by a max iteration count) before falling back to 'cannot answer this query'.
Agentic RAG — 12-Step Workflow (distilled)
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▶📚 Prerequisites(2)
🎓 Learning objectives
- •Name the 3 core limitations of traditional RAG that motivate Agentic RAG
- •Trace the full 12-step agentic RAG workflow from query input to final response
- •Explain the role of each agent in the workflow (query rewriter, detail-need decider, source selector, relevance checker)
- •Explain why the retry loop is bounded rather than infinite
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