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 w…
---
name: qdrant-vector-search
description: 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.
version: 1.0.0
author: Orchestra Research
license: MIT
tags: [RAG, Vector Search, Qdrant, Semantic Search, Embeddings, Similarity Search, HNSW, Production, Distributed]
dependencies: [qdrant-client>=1.12.0]
---
# 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
**Key features:**… load the full skill through Skill Me