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Amazon Aurora Serverless v2
Featured

An on-demand, auto-scaling configuration for Amazon Aurora DB instances that automatically adjusts compute and memory capacity based on load, integrated with Knowledge Bases for Amazon Bedrock to simplify vectorization and database capacity management.

Azure Database for PostgreSQL
Featured

Microsoft Azure's managed service for PostgreSQL, which supports the pgvector extension, enabling robust vector database capabilities in the cloud for AI and machine learning workloads.

Data Cloud Vector Database
Featured

Built into the Salesforce platform, Data Cloud Vector Database ingests various large datasets from customer interactions, classifies and organizes unstructured data, and merges it with structured data to enrich customer profiles and store as metadata in Data Cloud. It enhances generative AI by providing more relevant, accurate, and up-to-date responses through improved data retrieval and semantic search capabilities.

vector engine for OpenSearch Serverless
Featured

An on-demand serverless configuration for OpenSearch Service that simplifies the operational complexities of managing OpenSearch domains, integrated with Knowledge Bases for Amazon Bedrock to support generative AI applications.

Azure Cosmos DB Vector Indexing

Native vector indexing capability in Azure Cosmos DB that supports flat, quantizedFlat, and diskANN index types for efficient vector similarity search using the VectorDistance function. It enables low-latency, high-throughput, and cost-efficient vector search directly in Cosmos DB collections, with options for brute-force exact search (flat), compressed brute-force search (quantizedFlat), and approximate nearest neighbor search (diskANN).

Cloudflare Vectorize

Cloudflare Vectorize is a managed vector database/indexing service integrated with Cloudflare Workers AI. It stores and searches high-dimensional vector embeddings (such as text embeddings) using configurable dimensions and distance metrics like cosine and euclidean, automatically handling index optimization and regeneration when new data is inserted.

Weaviate Cloud

Weaviate Cloud is the fully managed cloud deployment of the Weaviate vector database, providing a hosted environment for building and operating AI applications with scalable vector search, without managing infrastructure.

Google Vertex AI

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.

AstraDB

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.

Jina

Jina is an open-source neural search framework that delivers cloud-native neural and vector search solutions powered by deep learning for AI applications. It is also known as Jina Search, designed for building search systems powered by vector databases, making it highly relevant for applications involving AI, semantic search, and vector data management.

Manu

A cloud-native vector database management system designed for efficient storage and retrieval of vector embeddings. Directly relevant as a vector database platform.

Transwarp Hippo

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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