From 9f096c4d7e4957e0433a6443e4cc2f51c0d43dc2 Mon Sep 17 00:00:00 2001 From: Dylan Couzon Date: Mon, 27 Apr 2026 11:30:43 -0400 Subject: [PATCH] Simplify definitions --- .../tutorials-search-engineering/retrieval-quality.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/qdrant-landing/content/documentation/tutorials-search-engineering/retrieval-quality.md b/qdrant-landing/content/documentation/tutorials-search-engineering/retrieval-quality.md index 42d0740ae..35dbf8ecd 100644 --- a/qdrant-landing/content/documentation/tutorials-search-engineering/retrieval-quality.md +++ b/qdrant-landing/content/documentation/tutorials-search-engineering/retrieval-quality.md @@ -20,10 +20,10 @@ To measure ANN precision, you compare Qdrant's approximate top-k against the exa This tutorial is part of a four-layer retrieval evaluation framework. -- **Layer 1: ANN precision** (this tutorial). How closely approximate nearest-neighbor search matches exact kNN. Run on every index or embedding change. -- **Layer 2: Retrieval relevance** ([Measuring Retrieval Relevance](/documentation/tutorials-search-engineering/retrieval-quality-golden-set/)). How well the results match query intent against a labeled dataset. Run weekly, or on retrieval-stack changes. -- **Layer 3: Pipeline output quality** ([Evaluating Pipeline Output Quality](/documentation/tutorials-search-engineering/retrieval-quality-pipeline-output/)). Whether the full pipeline (retrieval plus an LLM generator, a ranker, or a UI) produces the right output. Run weekly, or on retrieval or generator changes. -- **Layer 4: Business impact**. Whether better retrieval moves the KPIs the business cares about. Measured per release once the offline layers pass. +- **Layer 1: ANN precision** (this tutorial). How closely approximate nearest-neighbor search matches exact kNN. +- **Layer 2: Retrieval relevance** ([Measuring Retrieval Relevance](/documentation/tutorials-search-engineering/retrieval-quality-golden-set/)). How well the results match query intent against a labeled dataset. +- **Layer 3: Pipeline output quality** ([Evaluating Pipeline Output Quality](/documentation/tutorials-search-engineering/retrieval-quality-pipeline-output/)). Whether the full pipeline (retrieval plus an LLM generator, a ranker, or a UI) produces the right output. +- **Layer 4: Business impact**. Whether better retrieval moves the KPIs the business cares about. Retrieval quality sits on top of embedding quality, measured separately by benchmarks like [MTEB](https://huggingface.co/spaces/mteb/leaderboard), which sets the ceiling on every downstream metric.