qdrant-relevance-feedback
OfficialEnhance search relevance with feedback, boost vector search performance.
Authorqdrant
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of improving search relevance and recall in vector search systems, particularly when a dense retriever is underperforming.
Core Features & Use Cases
- Relevance Feedback API: Offers a way to modify the vector search process based on user feedback, enhancing the retrieval of relevant documents.
- Feedback Model Training: Allows for the training of a feedback model to improve search quality.
- Use Case: When a user queries "How to improve search relevance in Qdrant" or "My search results are not relevant", this skill can be used to provide guidance on using the Relevance Feedback API.
Quick Start
Train the feedback model using the qdrant-relevance-feedback skill and apply it to your search queries for improved relevance.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: qdrant-relevance-feedback Download link: https://github.com/qdrant/skills/archive/main.zip#qdrant-relevance-feedback Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 620,000+ vetted skills library on demand.