Qdrant Freemium

Qdrant is an open-source vector database and vector search engine built for AI applications. It stores embeddings alongside metadata and supports fast, filtered similarity search at scale.

From semantic search to recommendation systems to RAG, Qdrant provides the retrieval backbone. It offers a rich filtering engine, horizontal scaling, and both self-hosted and managed cloud deployments, making it a popular choice for production AI systems.

Product Features

• High-performance vector similarity search
• Powerful payload filtering with rich conditions
• Hybrid search combining vectors and metadata
• Quantization for memory-efficient scaling
• Distributed deployment with sharding and replication
• Managed cloud plus self-hosted and REST/gRPC APIs

Product Highlights

• Open source with a permissive, production-friendly license
• Filtered search that stays fast at billions of vectors
• Easy migration between local, cloud, and hybrid
• Strong ecosystem and framework integrations

Use Cases

• Building semantic search over a document corpus
• Powering retrieval for RAG pipelines
• Creating product or content recommendation engines
• Deduplication and similarity matching
• Multi-tenant AI search with metadata filters