Towards Data Science July 22, 2026 By Kezhan Shi

Loop Engineering for RAG Generation: Iterate top-k One at a Time

Read the original on Towards Data Science →

Enterprise Document Intelligence [Vol. 1 #8bis] - Two regimes for sending retrieved candidates to the generation brick, the sufficiency signal that picks between them, and the per-question type dispatch that makes it cheap The post Loop Engineering for RAG Generation: Iterate top-k One at a Time appeared first on Towards Data Science .

Summary generated by The Flow from the publisher's feed. The full article lives at Towards Data Science.

Towards Data Science

Aug 7

Loop Engineering for Listing Questions: When the Answer Is Every Passage, Not the Top One

Enterprise Document Intelligence [Vol. 1 #12] - The category of question most RAG pipelines silently fail on, and the pipeline shape that handles them The post Loop Engineering for Listing Questions: When the Answer Is Every Passage, Not the Top One appeared first on Towards Data Science .

By angela shi

rag

Towards Data Science

2d ago

Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline

Enterprise Document Intelligence [Vol. 1 #13bis] - The four bricks return useful results most of the time.

By angela shi

rag

Towards Data Science

Jul 9

Loop Engineering for Hierarchical Retrieval: Reading a Long Document by Its Table of Contents

Enterprise Document Intelligence [Vol. 1 #7quater] - A 492-page document has a 358-entry table of contents.

By Kezhan Shi

Towards Data Science

Jul 24

Loop Engineering for RAG Generation: An LLM Cascade from a Cheap Local Model Up to a Hosted Flagship

Enterprise Document Intelligence [Vol. 1 #8quater] - Two angles on the cascade, cost and a validation loop, backed by a real sweep of twenty local models against a hosted flagship The post Loop Engineering for RAG Generation: An LLM Cascade from a Cheap Local Model Up to a Hosted Flagship appeared first on Towards Data Science .

By Kezhan Shi

llms rag

Towards Data Science

Jul 19

Loop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval

Enterprise Document Intelligence [Vol. 1 #6quinquies] - Prompt engineering, then context engineering, then loop engineering.

By Kezhan Shi

llms rag

Towards Data Science

5d ago

RAG Workflow and Loop Engineering: The Dispatcher That Decides When to Loop and When to Stop

Enterprise Document Intelligence [Vol. 1 #13] - Putting the patterns together, and why this is what “agentic RAG” should look like The post RAG Workflow and Loop Engineering: The Dispatcher That Decides When to Loop and When to Stop appeared first on Towards Data Science .

By angela shi

rag agents

Related stories

Loop Engineering for Listing Questions: When the Answer Is Every Passage, Not the Top One

Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline

Loop Engineering for Hierarchical Retrieval: Reading a Long Document by Its Table of Contents

Loop Engineering for RAG Generation: An LLM Cascade from a Cheap Local Model Up to a Hosted Flagship

Loop Engineering for RAG Question Parsing: The Small Loop That Runs Before Retrieval

RAG Workflow and Loop Engineering: The Dispatcher That Decides When to Loop and When to Stop