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Datastax offers a vector search solution integrated with its database platform, enabling approximate similarity search and hybrid queries for enterprise use cases.
Elasticsearch is a distributed search engine supporting various data types, including vectors, and provides scalable vector search capabilities, making it a popular choice for modern AI-powered applications. It can be extended with the k-NN plugin to provide scalable vector search using HNSW and Lucene, enabling hybrid semantic and keyword search capabilities.
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.
Infinity is an AI-native database built for LLM applications, offering fast hybrid search of dense vectors, sparse vectors, tensors, and full-text data.
Azure AI Search provides vector search capabilities as a managed service, supporting approximate KNN, hybrid search, and integration with other Azure AI tools.
MongoDB is a general-purpose database that now includes vector search capabilities, enabling light vector workloads alongside traditional database functionality. MongoDB Atlas, the managed cloud offering, includes vector search built on Lucene, supporting ANN queries and hybrid search. MongoDB Atlas Search integrates powerful vector search capabilities directly within MongoDB.
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.
A relational database engine extended with native vector search capabilities, allowing for scalable and efficient similarity search in combination with SQL queries.
Oracle's core database now includes vector search capabilities, enabling enterprises to perform scalable vector queries natively as part of their data management workflows. Oracle includes vector search capabilities in its database platform, supporting approximate KNN and hybrid search for enterprise-scale use cases.