Aug 15, 2026 · Artificial Intelligence

How We Boosted RAG Recall by 15% with Practical Query Optimization Techniques

The article details how a 15% recall@K improvement was achieved in a RAG system by building an offline test set and applying six concrete query‑optimization methods—including rewrite, HyDE, multi‑query, query splitting, contextual completion, and keyword enhancement—while discussing their trade‑offs and implementation tips.

Artificial IntelligenceHyDEKeyword Enhancement

0 likes · 9 min read

How We Boosted RAG Recall by 15% with Practical Query Optimization Techniques

James' Growth Diary

May 11, 2026 · Artificial Intelligence

Mastering RAG Evaluation: Recall@K, MRR, NDCG, and RAGAS Explained

This article breaks down RAG evaluation into a two‑layer framework, explains the four core metrics—Recall@K, MRR, NDCG, and the four RAGAS scores—shows how to implement them with LangChain.js, highlights common pitfalls, and offers scenario‑specific metric combinations for reliable performance monitoring.

LangChainMRRNDCG

0 likes · 20 min read

Mastering RAG Evaluation: Recall@K, MRR, NDCG, and RAGAS Explained