qdrant
Qdrant – High-Performance Vector Search for AI Applications
Qdrant is a powerful open-source vector database designed for high-dimensional similarity search and AI-driven applications. Built for speed and scalability, it enables businesses to search, match, and recommend with unparalleled precision and efficiency.
Key Features:
- Blazing-Fast Vector Search – Optimized for large-scale AI workloads, Qdrant ensures low-latency, high-accuracy search.
- Scalable & Cloud-Native – Deploy seamlessly on Qdrant Cloud, hybrid, or on-premise for enterprise-ready solutions.
- Cost-Effective Storage – Reduce memory usage with quantization and disk-based storage options.
- AI-Powered Recommendations – Build custom recommendation engines with flexible APIs and multi-vector queries.
- Seamless Integrations – Works with leading AI models, embeddings, and ML frameworks.
- Enterprise-Grade Security – SOC 2 and GDPR compliant with advanced data isolation and encryption.
Ideal for:
- AI-powered search engines
- Retrieval-Augmented Generation (RAG)
- Personalized recommendation systems
- Anomaly detection & data analytics
Trusted by top AI companies, Qdrant delivers high-performance vector search without the complexity.
Start for free with a 1GB cluster – no credit card required.
For more information, visit qdrant.