Qdrant Vector DB
High-performance, massive-scale Vector Database for the next generation of AI applications. Perfect for RAG pipelines and semantic search.
What is Qdrant?
Qdrant is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload.
Lightning Fast
Written in Rust, Qdrant is optimized for performance, even with billions of vectors.
Rich Filtering
Filter your search results based on payload, ensuring precise and relevant matches.
AI Ready
The perfect backend for Retrieval-Augmented Generation (RAG) and LLM applications.
Everything Included
High Performance
Rust-based architecture for maximum speed and efficiency.
REST & gRPC
Connect your applications easily with flexible API options.
Secure Access
API key authentication and automatic SSL provisioning.
Persistent Storage
Your vectors are safely stored and backed up regularly.
Scalable
Designed to handle growing datasets effortlessly.
Client Libraries
Official clients for Python, Node.js, Go, Rust, and more.
Managed Infrastructure
We handle the server setup, maintenance, and updates.
24/7 Support
Expert assistance whenever you need it.
Pricing Plans
Simple pricing for powerful vector search.
Qdrant Starter
- 4 GB RAM
- 2 vCPU
- 20GB NVMe
- 1M Vectors
Qdrant Pro
Most Popular- 16 GB RAM
- 4 vCPU
- 100GB NVMe
- 10M Vectors
- HA Setup
Qdrant Enterprise
- 32 GB RAM
- 8 vCPU
- 500GB NVMe
- 100M+ Vectors
- VPC Peering