Cosdata OSS
High-Performance Vector Database
Benchmark-leading performance with 1758+ QPS on 1M-record datasets, outperforming leading vector databases while maintaining 97% precision. Combines powerful vector and full-text search with enterprise-grade reliability.
Key Features
Next-Generation Vector Database
Cosdata OSS is a cutting-edge vector database designed for high performance, scalability, and ease of use. It combines advanced indexing algorithms with efficient resource utilization to deliver exceptional search performance for AI applications.
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High Performance
Lightning-fast indexing and query responses with industry-leading concurrent requests per second (RPS), optimized for high-dimensional data at scale.
Hybrid Search
Enhanced search precision by combining sparse and dense vector searches to deliver highly relevant, context-rich results for complex queries.
Enterprise-Grade
Robust data isolation, security with role-based access control, multiple deployment options, and Git-like versioning for data integrity.
Scalable Architecture
Engineered to grow alongside your data and query demands with near-linear scalability, maintaining consistent performance even with massive datasets.
Additional Capabilities
Efficient Resource Utilization
Provably efficient data structures and algorithms ensure outstanding performance while providing increasingly relevant search results.
Advanced Quantization
Configure scalar quantization (2-bit, 3-bit) and product quantization for enhanced compression and improved recall trade-offs.
Intuitive APIs
Elegantly crafted HTTP RESTful APIs with client SDKs available in multiple programming languages for effortless integration.
Multi-Modal Support
Real-time querying and dynamic index updates for multi-modal data (text, images, audio) without downtime or delays.
Industry-Leading Performance
Cosdata consistently outperforms competing solutions across both vector and full-text search benchmarks
Dense Vector Search Benchmark Highlights
Our HNSW implementation delivers exceptional performance across all key metrics:
- Industry-leading 1758+ QPS on 1M record datasets with 1536-dimensional vectors
- 42% faster than Qdrant and 54% faster than Weaviate
- Up to 146% faster than ElasticSearch while maintaining high precision
- Consistent 97% precision across challenging search tasks
Full-Text Search Benchmark Highlights
Compared to ElasticSearch across multiple datasets, Cosdata's custom BM25 implementation delivers:
- Up to 16x higher QPS than ElasticSearch on comparable datasets
- Significantly faster indexing, up to 12x faster on large datasets
- Lower latency at both p50 and p95 percentiles across all tested datasets
- Maintains similar recall and NDCG scores while delivering superior performance
Ready to Implement Cosdata OSS?
Our open-source vector database solution is ready for you to use in your applications. Check out our GitHub repository to get started with the fastest vector search available.