SeMI's Weaviate

Weaviate is an open-source vector database designed to store both objects and vectors, enabling advanced vector search capabilities combined with structured filtering. It offers the fault tolerance and scalability of a cloud-native database, making it a robust solution for modern data needs.

• Vector Search: Perform advanced searches using vectors to find similar items or data points efficiently.
• Structured Filtering: Combine vector search with traditional structured filtering to refine search results.
• Scalability: Built to scale seamlessly with your data, ensuring performance remains consistent as your dataset grows.
• Fault Tolerance: Designed with fault tolerance in mind, ensuring high availability and reliability of your data.
• Cloud-Native: Leverages cloud-native technologies for enhanced performance and integration.

Weaviate is a powerful tool for those looking to harness the capabilities of vector search while maintaining the reliability and scalability of a cloud-native database. Its unique combination of features makes it an ideal choice for modern data applications.