qdrant-vector-search

Name: qdrant-vector-search
Rating: 5 (7 reviews)
Author: braxtonROSE4

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.

7stars

Updated 2 months ago

View on GitHub ↗License: MIT

How to add

/plugin marketplace add braxtonROSE4/zorro-agent

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

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Qdrant - Vector Similarity Search Engine

High-performance vector database written in Rust for production RAG and semantic search.

When to use Qdrant

Use Qdrant when:

Building production RAG systems requiring low latency
Need hybrid search (vectors + metadata filtering)
Require horizontal scaling with sharding/replication
Want on-premise deployment with full data control
Need multi-vector storage per record (dense + sparse)
Building real-time recommendation systems

How to add

Drop this on your repo README

Related skills

webapp-testing

brand-guidelines

frontend-design

web-artifacts-builder

Get new Design e Frontend skills every Monday

Qdrant - Vector Similarity Search Engine

When to use Qdrant

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