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Qdrant

Production-grade open-source vector database — written in Rust, blazing fast

Vector Databases Apache 2.0 Self-hosted / Cloud Intermediate

Stats

GitHub stars★ 22k+
LicenseApache 2.0
HostingSelf-hosted / Cloud
DifficultyIntermediate

Get started

Official docs and GitHub repo

Visit Qdrant ↗ View on GitHub ↗

What is Qdrant?

Qdrant is a production-ready vector database written in Rust for maximum performance. Handles billions of vectors, supports filtering, payload storage, and multitenancy. The best open-source choice when you outgrow ChromaDB — same concepts, much more scale. Docker deploy in one command.

Quick start

1
docker run -p 6333:6333 qdrant/qdrant
2
pip install qdrant-client
3

Connect to http://localhost:6333

4

Qdrant dashboard available in browser

Use cases

Production RAG systems

Billion-scale vector search

Recommendation engines

Semantic deduplication

Compatible models

Works with any embedding model

Why this matters for India

// india context

If you're building a product on RAG, Qdrant scales from laptop to production without changing your code.