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.
Loading more......
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.
Azure AI Search provides vector search capabilities as a managed service, supporting approximate KNN, hybrid search, and integration with other Azure AI tools.
Infinity is an AI-native database built for LLM applications, offering fast hybrid search of dense vectors, sparse vectors, tensors, and full-text data.
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.
Datastax offers a vector search solution integrated with its database platform, enabling approximate similarity search and hybrid queries for enterprise use cases.
MongoDB Atlas Vector Search is a fully integrated vector search capability within MongoDB Atlas, enabling efficient vector-based retrieval and similarity search over unstructured data such as text, images, and audio. It is designed to power semantic search and generative AI applications directly within the MongoDB database platform.
MongoDB Atlas Vector Search is part of the MongoDB Atlas platform. Pricing is based on the underlying Atlas cluster resources (compute, storage, search nodes, etc.) and usage. Detailed and up-to-date pricing information can be found at https://www.mongodb.com/pricing.