Qdrant - Database Management Tool
Free Tier, PaidDatabase Management
High-performance open-source vector database and search engine built in Rust.
Loading...
Use Qdrant to power semantic search, recommendation systems, RAG and AI applications using billions of high-dimensional vectors. It supports pure vector, sparse, and hybrid search, horizontal scaling, GPU-accelerated indexing, and integrates easily into your cloud infrastructure—local or managed. With multi-language SDKs and web UI, it's ideal for developers and ML teams needing fast, scalable, and reliable vector search capabilities.
Use Cases
Building semantic search engines
Implementing retrieval-augmented generation
Creating recommendation systems
Anomaly detection in high-dimensional data
Deploying AI agent backends
Integrations
.png?alt=media&token=47b9fad5-dc2c-4316-ab97-557e774d25b8)
.png?alt=media&token=44a73033-1593-452c-a646-d50bbb5ec43d)
Standout Features
Rust-based, high-performance vector engine
Pure vector, sparse, and hybrid search modes
GPU-accelerated index building
Multi-language SDKs and web UI
Scalable cloud and hybrid deployments
Rich ecosystem integrations
Who is it for?
Software Engineer, Data Scientist, ML Engineer, AI Research Scientist
Tasks it helps with
Store and search high-dimensional vectors
Run semantic and hybrid queries
Scale horizontally across clusters
Build recommendation systems and search engines
Use GPU for fast index building
Visualize and debug via web UI
Overall Web Sentiment
People love itTime to value
Quick Setup (< 1 hour)Tutorials
Reviews
Compare
Monte Carlo Data
Fivetran
Supabase
DataStax Astra
Outerbase
PostgreSQL
Not sure yet?
Book a call with an AI expert to get personalized recommendations