// AI news · 2026-11-01 · Dev.to AI
Establish Baseline Before Optimizing RAG
Before optimizing a RAG system, establish a baseline using metrics like Recall@K, MRR, and faithfulness.
Published 2026-11-01 03:24 (Beijing time)Source Dev.to AIAuto-summarised, fact-checked against source
01Summary
Evaluate retrieval quality and cost per query before introducing changes such as rerankers or new chunking strategies. Compare results to determine actual improvements and identify which component contributed to performance gains. Avoid simultaneous changes to multiple pipeline stages to isolate causal effects.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Establish baseline metrics before any RAG pipeline changes.
- Use Recall@K, MRR, faithfulness, and cost per query for evaluation.
- Compare pre- and post-change results to identify true performance improvements.
- Change one component at a time to isolate the impact of each modification.
03Source
Day 12/90: Before Improving Your RAG App, Establish a Baseline
Dev.to AI · published 2026-11-01 03:24 Beijing time
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