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AWS has introduced vector search in several of its managed database services, including OpenSearch, Bedrock, MemoryDB, Neptune, and Amazon Q, making it a comprehensive platform for vector search solutions.
AstraDB (also known as Astra DB by DataStax) is a cloud-native vector database built on Apache Cassandra, supporting real-time AI applications with scalable vector search. It is designed for large-scale deployments and features a user-friendly Data API, robust vector capabilities, and automation for AI-powered applications.
Google Cloud Platform offers vector search as part of its Vertex AI suite, enabling scalable and integrated vector search capabilities for AI-driven applications.
Google Vertex AI offers managed vector search capabilities as part of its AI platform, supporting hybrid and semantic search for text, image, and other embeddings.
A cloud-native vector database management system designed for efficient storage and retrieval of vector embeddings. Directly relevant as a vector database platform.
Azure AI Search provides vector search capabilities as a managed service, supporting approximate KNN, hybrid search, and integration with other Azure AI tools.
Microsoft Azure offers vector search support across multiple database services, enabling developers to leverage vector search in cloud-native and enterprise scenarios.
A vector search capability integrated within MongoDB Atlas, enabling vector-based retrieval and similarity search over unstructured data. Relevant for users seeking vector search in a popular database platform. MongoDB Vector Search is an integrated feature in MongoDB Atlas that enables efficient vector-based search within a comprehensive document database, supporting up to 2,048 dimensions and hybrid search capabilities.
Transwarp Hippo is an enterprise-grade, cloud-native distributed vector database designed for scalable vector operations, including similarity search and clustering, targeting massive datasets and real-time recommendation systems.
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