Assess
Weviate is an open-source vector database designed for storing and retrieving vector embeddings. It is built for embedding similarity search and AI applications. Weviate provides scalable, reliable, and efficient vector indexing and query capabilities, making it a popular choice for machine learning and deep learning projects. Moreover, it can also facilitate semantic search engines operating on textual data. Weviate is designed to be easy to use and can be deployed on-premises or in the cloud. It is built on top of the Weaviate vector search engine and is designed to be used in combination with the Weaviate vector search engine. Weviate is developed and maintained by the team at SeMI Technologies.