Qdrant, the leading provider of high-performance, open source vector search, is debuting Qdrant Cloud Inference, a new solution for generating text and image embeddings directly within managed Qdrant ...

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.

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

Qdrant Cloud Inference unifies dense, sparse, and image embeddings with vector search to simplify workflows and accelerate AI ...

Qdrant Cloud Inference simplifies building applications with multimodal search, retrieval-augmented generation, and hybrid ...

SAP HANA Cloud now offers more context-aware AI solutions on its single, multi-model platform that brings together vector, graph, text, spatial, and relational data natively. Rather than sending data ...

Unlock next-level RAG performance with Jina v4, the embedding model designed for precision, efficiency, and complex data challenges.

“Our mission is to make Earth data universally accessible and actionable through AI,” said LGND founder and Chief Executive ...

With AI at the data level, you can use that model to do a lot of the work, and then apply vector search on top of that.

MDB rides AI momentum with Atlas growth, Voyage AI upgrades and tools like MCP to streamline LLM-powered development.