Qdrant
High-performance open-source vector database written in Rust
Infrastructurevia in-houseaisaasinfrastructureai-infra
About
Qdrant is a high-performance, open-source vector database written in Rust. It offers advanced filtering, quantization, and distributed mode capabilities, making it an ideal solution for production-scale applications. Qdrant is particularly well-suited for RAG (Relation-based Attention Graph) and recommendation systems, where vector databases can be leveraged to deliver efficient and accurate results.
Best for
- •Production teams scaling vector search
- •Engineers needing low-latency retrieval
Similar programs in Infrastructure
Algolia
FeaturedManaged search API with NeuralSearch AI for production apps
Infrastructurevaries (one-time)
Anyscale
Ray-based distributed compute for AI and ML at scale
Infrastructurevaries (one-time)
Baseten
Production ML model deployment with auto-scaling GPU inference
Infrastructurevaries (one-time)
Chroma
Open-source embedding database for building AI applications
Infrastructurevaries (one-time)