In that context, let’s look at the new MongoDB Vector search index capability. MongoDB says Vector Search “dramatically simplifies bringing generative AI and semantic search into applications for ...

Scaling distributed SQL queries needs more performance and efficiency in the agentic AI era. It’s a challenge Cockroach is looking to solve.

Essentially, an embedding function takes a word or phrase and maps it to a vector of floating point numbers; these are typically stored in a database that supports a vector search index.

Vector databases are the unsung heroes of ... in large part to the databases’ ability to power real-time indexing and search as the data is created or updated — this is important for ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Real time database vendor Rockset is expanding the AI capabilities of ...

Microsoft has updated its Azure AI Search service to increase storage capacity and vector index size at no additional cost, a move it said will make it more economical for enterprises to run ...

The GPU-accelerated feature optimizes HNSW (Hierarchical Navigable Small World) index building, one of the most resource-intensive steps in the vector search pipeline — particularly when scaling ...

Zilliz Cloud, a fully managed vector database platform, has introduced the Cardinal vector search engine ... to this performance include advanced indexing algorithms, specialized memory allocation ...

The GPU-accelerated feature optimises HNSW (Hierarchical Navigable Small World) index building, one of the most resource-intensive steps in the vector search pipeline — particularly when scaling ...

Microsoft revealed a set of updates to its Azure platform during the Build 2025 conference aimed at improving dev access to AI-powered voice agents, document indexing and vector search integration.