Overview
Weaviate is a cutting-edge, open-source vector database designed to support the next generation of AI-native applications. It offers developers a robust, flexible platform for building intelligent systems with enhanced search, retrieval, and generative AI capabilities.
Key Features
- Pure vector similarity search
- Hybrid search combining vector and keyword techniques
- Retrieval-Augmented Generation (RAG) support
- Cloud, model, and deployment agnostic
- Flexible cost-performance optimization
- Extensive integration capabilities
- Open-source with strong developer community
Use Cases
- Generative AI applications
- Advanced semantic search
- Recommendation systems
- Knowledge management
- AI-powered data enrichment
- Enterprise AI infrastructure
Technical Specifications
- Open-source vector database
- Supports multiple vector indexing methods
- Compatible with various ML frameworks
- Scalable and performance-optimized
- Multi-modal data support
- Built-in modules for vectorization
- Supports custom machine learning models
