Rockset is a cloud-based solution that scales vector search for AI applications, facilitating relevant experiences with hybrid search and real-time updates. As a vector database, it supports the creation of embeddings using various machine learning models, offering fast similarity searches. Key features include real-time updates without expensive reindexing and compute separation for efficient performance.
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