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.

Malicious GitHub repositories used by threat actors to host Amadey payloads and steal data, impacting targeted entities.

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

MongoDB MDB and Oracle ORCL are two leading names in the database market, but they’re built on very different foundations.

“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.

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

See What AI Sees: AI Mode Killed the Old SEO Playbook — Here’s the New One Google’s AI Mode is reshaping SERP rankings. Discover how embedding vectors, not keywords, now determine visibility.

Zilliz is a US-based global leader building next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning ...

Leading surveillance providers leverage Zilliz Cloud to overcome data overload challenges, enabling real-time threat detection and sub-second video search across enterprise installations.

This happens even though the database table only has 3 rows. The same function runs without issues via Supabase SQL Editor. create extension if not exists vector; create table mirag ( id bigserial ...