Towards Data Science
7/22/2026
The original title is about RAG systems and a specific engineering approach. Let me rewrite it to be punchy and preserve key facts.
Original: Loop Engineering for RAG Generation: iterate top-k one at a time
Short summary
Article discusses two regimes for sending retrieved candidates to the generation stage in RAG systems: iterating top-k results one at a time versus batching. It introduces a sufficiency signal to choose between regimes and a per-question-type dispatch mechanism to keep costs low. Part of the Enterprise Document Intelligence series from Towards Data Science.
- •Two regimes for RAG generation: iterate top-k one at a time vs batch
- •Sufficiency signal determines which regime to use
- •Per-question-type dispatch reduces cost
Generated with AI, which can make mistakes.
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