Supercharge Your AI|
Cosdata's next-generation vector database delivers lightning-fast performance at billion-vector scale, powering the AI applications of tomorrow
Our Products
Explore our suite of cutting-edge vector database solutions designed for different use cases and requirements
Cosdata HNSW
High-performance vector database with industry-leading query speeds and hybrid search capabilities.
- Market-Leading Benchmarks
- Self-hosted deployment
- Advanced hybrid search
Cosdata Serverless
Infinitely scalable vector database with zero operational overhead, powered by our innovative CHANNI technology.
- Zero operational overhead
- Pay-as-you-go pricing
- Adaptive scaling
Structured Search
Next-generation knowledge graph technology optimized for structured search and GraphRAG applications.
- Knowledge graph integration
- Graph-Based RAG optimized
- Unprecedented scale and simplicity
Industry-Leading Performance
Cosdata outperforms the competition with blazing-fast query speeds and superior efficiency
| Vector DB | Indexing Time (m) | RPS | Precision | p50 (ms) | p95 (ms) |
|---|---|---|---|---|---|
| CosdataFastest | 16.32 | 1758 | .97 | 6.61 | 7.87 |
| Qdrant | 24.43 | 1238 | .99 | 3.54 | 4.95 |
| Weaviate | 13.94 | 1142 | .97 | 4.99 | 7.16 |
| Elastic Search | 83.72 | 716 | .98 | 22.10 | 72.53 |
1,758+ QPS
Industry-leading query performance with over 1,750 queries per second on a single node
97% Precision
High-quality results with improved recall and exceptional accuracy for complex queries
30-50% Faster
Significantly faster than competing vector databases across both indexing and query operations
Precision Performance, Effortless Integration
Discover how our intuitive and tailored solutions can enhance your data management experience.
Effortless Management
RESTful APIs: Easily manage all database functions through intuitive HTTP interfaces for seamless interaction.
Client SDKs: Quickly integrate with your preferred programming language using SDKs available across multiple platforms.
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Optimized Indexing
Dense Vector Index: Achieve high-efficiency indexing using our optimized HNSW algorithm for precise search results.
Sparse Vector Index: Designed for SPLADE-generated sparse vectors, our system outperforms traditional BM25 indices for more accurate indexing.
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Flexible Hyperparameter Control
Auto-configuration: Automatically fine-tune system parameters with insights-driven setup for optimal performance without manual effort.
Manual Precision: Gain full control by customizing indexing and querying parameters for specialized use cases and performance needs.
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Enterprise-Grade Scalability and Security
Unbounded Scalability
Secure Data Management
Advanced Version Control
Research & Innovation
Our cutting-edge research powers the next generation of vector search technology
CHANNI
Multi-Level Vector Search Index with Nested Graph Navigation
CHANNI introduces a novel vector indexing architecture that bridges the gap between memory-efficient clustering and high-performance graph navigation, combining hierarchical navigable small world graphs at multiple levels.
Key Innovations:
- Multi-level navigation architecture leveraging HNSW graphs
- Primary-based cluster representation for efficient memory utilization
- Innovative sample-based clustering strategy with minimal computational expense
MAVANN
Metadata-Aware Vector Approximate Nearest Neighbor
MAVANN introduces a novel approach to metadata filtering in vector databases, integrating metadata directly into the vector search process for dramatically improved performance without sacrificing result quality.
Key Innovations:
- Metadata-aware vector navigation for efficient pre-filtering during search
- Dynamic re-routing based on both vector similarity and metadata constraints
- Up to 20x faster query performance with complex metadata filtering
Unlock Your Data's Potential
Leverage embeddings, hybrid search, and knowledge graphs to power applications in search, recommendations, anomaly detection, and more.
Retrieval Augmented Generation (RAG)
Enhance the quality of AI-generated content. Leverage Cosdata's powerful hybrid search capabilities, combining dense and sparse vectors with knowledge graphs, to retrieve contextually relevant data points for retrieval-augmented generation.
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Advanced Search
Elevate your applications with Cosdata's advanced search technology. Seamlessly process high-dimensional data for nuanced similarity searches, and gain deeper insights with our integration of dense vectors and structured knowledge graphs.
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Recommendation Systems
Build responsive, data-driven recommendation systems with Cosdata's hybrid search. Utilize multiple vectors and relationships in a single query to generate highly personalized, relevant recommendations at scale.
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