The announcement of S3 Vectors has sparked intense discussion, with some speculating that it could disrupt the vector database market.

A vector database becomes essential when handling unstructured data requiring complex algorithmic work, such as high-dimensional data, similarity searches, real-time AI applications, or when ...

S3 Vectors allows customers to store AI vector data in S3 object storage, a move that potentially allows for much cheaper storage of vectorised data usually held in vector databases.

Among other improvements, it announced new Vector Search functionality that improves the way it filters and aggregates unstructured data, making it easier for generative AI applications to access.

Q&A. Empowering AI Applications with Vector Search in SQL Server and Azure Cosmos DB. By David Ramel; 05/27/2025; As developers look to harness the power of AI in their applications, one of the most ...

Couchbase is updating its namesake NoSQL database platform with new capabilities to accelerate the development of AI-powered adaptive applications. The big new addition to Couchbase is support for ...

Data Cloud Vector Database – built into the Einstein 1 Platform – enables AI, automation, and analytics for improved decision-making and customer insights across all Salesforce CRM applications.

The enhanced index vector search promises that organizations will be able to benefit from all their data that is accessible from SingleStore for search as well for supporting gen AI applications.

Vector search helps build generative AI apps. In an effort to help enterprise build applications based on generative AI from data stored in MongoDB, the company has introduced a vector search ...

The LlamaIndex framework helps you to connect data, embeddings, LLMs, vector databases, and evaluations into applications. These are used for Q&A, structured extraction, chat, semantic search, and ...