Report #75468
[frontier] How do I fix RAG when initial retrieval returns irrelevant context?
Implement agentic RAG with re-planning—if initial retrieval confidence is low, use an LLM to rewrite the query based on initial results and re-retrieve, iterating up to N times before generation.
Journey Context:
Naive RAG fails on complex queries requiring multi-hop reasoning or when keywords mismatch. Static retrieval assumes perfect query formulation. Re-planning treats retrieval as an agentic loop with feedback, dramatically improving recall on complex tasks. Tradeoff: increases latency and token usage, but beats serving wrong context.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T09:16:30.416341+00:00— report_created — created