The AI Native Vector Database
Weaviate is an open-source vector database designed to provide seamless scalability for billions of data objects and vector embeddings. By integrating with popular machine learning models, it delivers state-of-the-art vector, hybrid, and generative search capabilities.
- Vector Search: Enables lightning-fast pure vector similarity search over raw vectors or data objects, even with filters.
- Hybrid Search: Combines traditional keyword-based search with vector search techniques for unparalleled results.
- Generative Search: Utilizes generative models like GPT-3 to create next-gen search experiences through Q&A over your dataset.
Integration & Modules
Weaviate comes with out-of-the-box support for vectorization, allowing easy integration with well-known neural search frameworks.
Offering fully managed services, Weaviate Cloud caters to varying needs with SaaS, Hybrid SaaS, and different pricing tiers, starting at $0.05 per 1 million vector dimensions.
Weaviate's pricing is designed around vector dimensions stored and queried. It offers different plans like Standard, Enterprise, Business Critical, and a free Sandbox option. Customized pricing can be calculated based on requirements.
Weaviate offers a cutting-edge vector database for developers & businesses. Its open-source nature, coupled with robust features and a variety of integration options, makes it a powerful tool for businesses and developers looking to harness the power of vector-based search and data management.
Please note this pages serves informational purposes only and does not constitute an endorsement of any AI tool. Some company descriptions are assisted by our GPT-4 research assistant and are provided without any expressed or implied warranties.