Qdrant

Founded by Andre Zayarni in 2020

High-performance open-source vector database and search engine built in Rust.

Cost

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

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.

What Qdrant does

Store and search high-dimensional vectorsRun semantic and hybrid queriesScale horizontally across clustersBuild recommendation systems and search enginesUse GPU for fast index buildingVisualize and debug via web UIRust-based, high-performance vector enginePure vector, sparse, and hybrid search modesGPU-accelerated index buildingMulti-language SDKs and web UIScalable cloud and hybrid deploymentsRich ecosystem integrations

Tutorials & Demos

Frequently asked

AWS

n8n

Cloudflare OpenAI

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