RAG Accuracy Playbook: Retrieval Recall, Re-Ranking, and Evaluation Loop

Tue, 17 Feb 2026 10:56:00 +0800

If your RAG system feels unreliable, switching to a more expensive LLM is usually the wrong first move. In most cases, the bottleneck is retrieval quality: weak recall, poor ranking, and no measurement loop.

This guide gives a practical path: make recall broader, make ranking sharper, then close the loop with offline + online evaluation.

Software Engineering History: From Software Crisis to AI Co-Creation

Wed, 31 Dec 2025 12:30:15 +0800

Large language models are changing how we clarify requirements, generate code, and design tests, and many teams feel that traditional workflows are being rewritten. To understand what is truly changing, it helps to place today inside the longer history of software engineering.

This article walks through the major stages of software engineering and ends with the AI-era variables and a simple checklist so you can map your current problems to the right time scale.

LLM on Mengboy Tech Notes

RAG Accuracy Playbook: Retrieval Recall, Re-Ranking, and Evaluation Loop

Software Engineering History: From Software Crisis to AI Co-Creation