AWS claims 90% vector cost savings with S3 Vectors GA, calls it 'complementary' - analysts split on what it means for vector databases

Despite the aggressive cost claims and dramatic scale improvements, AWS is positioning S3 Vectors as a complementary storage ...
InfoWorld

Using PostgreSQL as a vector database in RAG

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...

Vector Database Market $ 8,945.7 million by 2030 | MarketsandMarkets™

According to MarketsandMarkets™, the Vector Database Market is expected to be worth USD 2,652.1 million in 2025 and reach USD ...
VentureBeat

Redis scales vector data, improves data integration capabilities

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Redis is updating its suite of data platforms with new capabilities ...
InfoWorld

Using the Pinecone vector database in .NET

If you’re building generative AI applications, you need to control the data used to generate answers to user queries. Simply dropping ChatGPT into your platform isn’t going to work, especially if ...

Pinecone scales its vector database to support more demanding workloads

Pinecone is the creator of an advanced vector database that can dynamically store, transform and index billions of ...
Computer Weekly

Storage technology explained: Vector databases at the core of AI

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.