What is Weaviate?
Weaviate is an AI-native vector database that combines advanced vector search capabilities with traditional keyword search techniques to deliver precise, contextual results across multiple data modalities. With over 1 million monthly downloads, it serves as a cornerstone in the AI-native stack for both developers and enterprises.
The platform offers flexible deployment options, including Serverless Cloud, Enterprise Cloud, and Bring Your Own Cloud configurations. It emphasizes cost-performance optimization, data privacy, and seamless integration with existing tech stacks while providing robust developer tools and community support.
Features
- Hybrid Search: Combined vector and keyword search capabilities
- RAG Support: Enables building trustworthy generative AI applications
- Generative Feedback Loops: AI-powered dataset enrichment
- Cost Optimization: Flexible resource management and storage tiers
- Multi-modal Support: Handles various data types and vectors
- Cloud Agnostic: Deployable across multiple cloud platforms
- Open Source Core: Community-driven development and transparency
- Enterprise Security: SOC 2 compliance and data isolation
Use Cases
- AI-powered search systems
- Large language model applications
- Content recommendation engines
- Data enrichment and analysis
- Enterprise knowledge management
- Personalized user experiences
- Machine learning model deployment
Related Queries
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FAQs
What deployment options are available for Weaviate?
How is Weaviate's pricing structured?
Is Weaviate SOC 2 compliant?
What kind of support is available for developers?
Weaviate Uptime Monitor
Average Uptime
99.93%
Average Response Time
174.88 ms
