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Vectorflow is a vector database optimized for real-time vector indexing and search in distributed environments, suitable for AI and machine learning use cases.
QdrantCloud is the managed cloud version of Qdrant, a vector database tailored for AI-powered similarity search and matching.
KDB.AI is a proprietary vector database and search engine designed for real-time AI applications. It offers advanced vector search, integrates with popular ML tools, and supports temporal and semantic context for embeddings. KDB.AI Server is a high-performance vector database and search engine from KX, designed for real-time analytics and AI applications requiring rapid similarity search.
LanceDB is a columnar vector database optimized for real-time AI use cases and analytics workloads, providing efficient vector storage and fast similarity search.
Vald is an open-source, highly scalable distributed vector search engine known for its asynchronous auto-indexing and ability to efficiently handle large-scale vector data in real time, making it suitable for demanding vector search applications.
Vearch is a distributed vector search engine designed for AI-native applications, enabling scalable and efficient similarity search across large datasets.
Vectorflow is a vector database and embedding pipeline service optimized for real-time vector indexing and search in distributed environments. It is designed for AI and machine learning use cases, offering both managed and open source deployment options.
No specific pricing plans are provided in the available content. For details, refer to the official website.