Gartner predicts that retrieval-augmented generation will play a pivotal role in mitigating issues with developing and deploying GenAI business apps.

With new performance improvements for MongoDB Atlas Vector Search, the time it takes to build indexes is now significantly reduced by up to 85 percent to help accelerate application development.

It allows for unstructured data such as images and written handwriting to be stored as vector embeddings, which are mathematical structures that enable that information to be indexed and searched.

Microsoft’s Cognitive Search API now offers vector search as a service, ready for use with large language models in Azure OpenAI and beyond.

“MariaDB is known for its versatility, and that’s a core part of our focus for MariaDB Enterprise Platform 2025,” said Vikas Mathur, chief product officer, MariaDB. “Bringing vector search natively to ...

SUNNYVALE, Calif., April 08, 2025--Yugabyte, the distributed database experts, today, ahead of Google Cloud NEXT, announced the first of its next-generation agentic AI apps, Performance Advisor ...

Vector databases are the unsung heroes of the modern AI movement, storing unstructured data such as images, videos and text to enable people and systems to search uncategorized content.

Today, VectorShift, a startup working to simplify large language model (LLM) application development with a modular no-code approach, announced it has raised $3 million in seed funding from 1984 ...