Qdrant
Vector Database for the next generation of AI.
Overview
Qdrant is a vector database and vector similarity search engine written in Rust. It provides a production-ready service with a convenient API to store, search, and manage points-vectors with an additional payload. Qdrant is designed to provide extensive filtering support, making it a good choice for neural network or semantic-based matching, faceted search, and other applications.
✨ Key Features
- Open-source
- Written in Rust for performance and safety
- Advanced filtering capabilities
- Payload indexing
- Horizontal scaling
🎯 Key Differentiators
- Written in Rust
- Advanced filtering
- Performance and safety
Unique Value: Qdrant offers a robust and performant open-source vector database with powerful filtering capabilities, ideal for building advanced AI applications.
🎯 Use Cases (5)
✅ Best For
- Building search engines with complex filtering requirements
- Powering recommendation systems with real-time updates
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Storing large amounts of non-vector data
🏆 Alternatives
Qdrant's use of Rust and its focus on advanced filtering differentiate it from other open-source and managed vector databases.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
🔒 Compliance & Security
💰 Pricing
Free tier: Open-source version is free to self-host.
🔄 Similar Tools in Chroma Alternatives
Pinecone
A fully managed vector database that makes it easy to add vector search to production applications....
Weaviate
An open-source, AI-native vector database that helps developers create and scale AI applications....
Milvus
An open-source vector database for building AI applications and similarity search....
Zilliz
A fully managed vector database service built on the open-source Milvus project....
Typesense
An open-source, typo-tolerant search engine optimized for performance and developer experience....
MongoDB Atlas Vector Search
A fully managed vector search capability integrated into MongoDB Atlas....