Weaviate Graph
Open SourceFundedOpen-source vector database platform for scalable, high-performance data search.
About Weaviate Graph
Weaviate Graph is an open-source vector database designed to enable enterprises to efficiently store, search, and manage large-scale unstructured data using vector embeddings. It leverages advanced indexing techniques such as Roaring Bitmaps and HNSW-PQ to deliver high-speed filtered searches and optimized memory usage, making it suitable for organizations dealing with massive datasets and complex query requirements. The platform supports hybrid search capabilities combining vector and traditional BM25 scoring, enhancing search relevance and performance.
Targeted at enterprise CIOs and data architects, Weaviate provides a robust, scalable solution for applications requiring semantic search, recommendation engines, and AI-driven data retrieval. Its extensible architecture includes agents for query transformation, personalization, and deployment flexibility across shared and dedicated cloud environments. The platform integrates with major cloud providers and data services, facilitating seamless incorporation into existing enterprise data ecosystems. Weaviate’s open-source nature ensures transparency and adaptability, while its subscription-based cloud offerings provide enterprise-grade support and managed services.
Key Capabilities
- ✓High-performance vector search with Roaring Bitmap indexing
- ✓Memory-efficient HNSW-PQ vector indexing
- ✓Hybrid search combining BM25 and vector scoring
- ✓Tunable replication and consistency controls
- ✓Cloud-native backup with Azure Storage integration
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