qdrant-search-quality

✓ Official★ 36,200

by github · part of github/awesome-copilot

Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant…

🔥🔥🔥✓ VerifiedFreeQuick setup

#git #memory

🧩 One of 7 skills in the github/awesome-copilot package — works on its own, and pairs well with its siblings.

Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant…

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

by github

Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant… npx skills add https://github.com/github/awesome-copilot --skill qdrant-search-quality Download ZIP GitHub36.2k

Qdrant Search Quality

First determine whether the problem is the embedding model, Qdrant configuration, or the query strategy. Most quality issues come from the model or data, not from Qdrant itself. If search quality is low, inspect how chunks are being passed to Qdrant before tuning any parameters. Splitting mid-sentence can drop quality 30-40%.

Start by testing with exact search to isolate the problem Search API

Diagnosis and Tuning

Isolate the source of quality issues, tune HNSW parameters, and choose the right embedding model. Diagnosis and Tuning

Search Strategies

Hybrid search, reranking, relevance feedback, and exploration APIs for improving result quality. Search Strategies