---
name: Qdrant Search Quality
slug: qdrant-search-quality
category: AI Engineering
description: Qdrant Search Quality diagnoses bad search relevance, low recall, and low precision in Qdrant. Use it to identify whether the model, the data, or retrieval settings are causing poor matches and to measure retrieval quality.
github: "https://github.com/qdrant/skills/tree/main/skills/qdrant-search-quality"
language: Python
stars: 230
forks: 28
install: "npx degit https://github.com/qdrant/skills/tree/main/skills/qdrant-search-quality ~/.claude/skills/qdrant-search-quality"
installs_to: ~/.claude/skills/qdrant-search-quality
source_path: skills/qdrant-search-quality/SKILL.md
collection_size: 25
category_size: 2793
collection_url: "https://dirskills.com/collections/qdrant/skills"
added: 2026-09-03T06:04:24.480Z
last_synced: 2026-09-03T06:04:24.480Z
canonical_url: "https://dirskills.com/skills/qdrant-search-quality"
---

# Qdrant Search Quality

Qdrant Search Quality diagnoses bad search relevance, low recall, and low precision in Qdrant. Use it to identify whether the model, the data, or retrieval settings are causing poor matches and to measure retrieval quality.

**Install:**

```bash
npx degit https://github.com/qdrant/skills/tree/main/skills/qdrant-search-quality ~/.claude/skills/qdrant-search-quality
```

## README

# Qdrant Search Quality

Route first, then answer. Match the user's symptom in the table, `Read` that file, and answer from it.
Do not answer from this page alone: it contains routing only, not the guidance. If two rows match, read both.

| The user says | Read |
|---|---|
| Search results are bad or irrelevant, wrong results, missing expected matches | `diagnosis/SKILL.md` |
| Low recall, expected results are missing | `diagnosis/SKILL.md` |
| Low precision, too many wrong matches | `diagnosis/SKILL.md` |
| Which embedding model to use, quality dropped after quantization, model change, or data growth | `diagnosis/SKILL.md` |
| Not sure if the model, the data, or Qdrant is at fault | `diagnosis/SKILL.md` |
| Want to measure recall, build a golden set, ground truth dataset, recall@k | `diagnosis/SKILL.md` |
| Need to combine keyword and semantic search, hybrid search, sparse + dense, fusion / RRF, prefetch | `search-strategies/hybrid-search/SKILL.md` |
| Should I rerank, results too similar, need diversity, MMR, recommendation/discovery API | `search-strategies/SKILL.md` |
| Improving results with relevance feedback or user clicks, cheaper alternative to reranking | `search-strategies/relevance-feedback/SKILL.md` |

Most quality issues come from the embedding model or the data, not from Qdrant's configuration — splitting chunks mid-sentence alone can drop quality 30-40%.
Rule that out with exact search before tuning any Qdrant parameter:
[Search API](https://skills.qdrant.tech/md/documentation/search/search/?s=search-api)