LLMs & AI Infra Vector DB stable
Qdrant
High-performance vector similarity search engine
22.0K stars
150 contributors
Since 2021
Vector database built in Rust for fast similarity search with filtering, payload storage, and distributed deployment.
License
Apache-2.0
Min RAM
2 GB
Min CPUs
2 cores
Scaling
horizontal
Complexity
intermediate
Performance
enterprise grade
Self-hostable
✓
K8s native
✓
Offline
✕
Pricing
fully free
Docs quality
good
Vendor lock-in
none
Use cases
- ✓ RAG retrieval backend for LLM applications
- ✓ Product recommendation via embedding similarity
- ✓ Semantic document search across knowledge base
- ✓ Image similarity search for e-commerce
Anti-patterns / when NOT to use
- ✕ Not a general-purpose database
- ✕ No SQL support
- ✕ Needs separate storage for non-vector data
Integrates with
Compare with alternatives
Replaces / alternatives to
Technical specs
Language
Rust
API type
RESTgRPC
Protocols
HTTP
Data model
vector
Deployment
dockerbinary
SDKs
pythonjavascriptgorust
Community
GitHub stars 22.0K
Contributors 150
Commit frequency daily
Plugin ecosystem none
Backing Qdrant
Funding vc_backed
Release
Latest version
— Last release —
Since 2021
Best fit
Team size
solosmallmediumenterprise
Industries
saase-commercehealthcarelegaleducation