Weaviate is an open-source, AI-native vector database designed to scale and improve AI application development.
How Weaviate can help you:
- Facilitates the creation of intuitive and reliable AI-powered applications.
- Enriches datasets with content generated by Large Language Models (LLMs), reducing manual data cleaning efforts.
- Combines keyword and vector search with Machine Learning (ML) models for faster, more relevant, and contextual search results.
- Improves the accuracy and reliability of generative AI applications using proprietary data.
Why choose Weaviate: Key features
- Open-source platform with strong community support.
- Specialized in hybrid search, combining the best of vector and keyword search.
- Includes built-in modules for popular ML models and frameworks for ease of use.
- Scalable multi-tenant architecture supports confident, efficient scaling.
- Flexible deployment options to meet business needs, including as an open-source platform, a managed service, or within a VPC.
Who should choose Weaviate:
- Developers of all levels looking to build production-ready AI applications.
- Teams seeking to enrich and clean their datasets effectively.
- Organizations needing scalable, efficient search capabilities across unstructured data.
- Businesses aiming for secure, explainable, and reliable AI application deployments.
