Microsoft’s Cognitive Search API now offers vector search as a service, ready for use with large language models in Azure OpenAI and beyond. Topics Spotlight: AI-ready data centers ...

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

Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel ...

At its annual Inspire conference, Microsoft recently announced the public preview of Vector search in Azure Cognitive Search, a capability for building applications powered by large language models.

That is what SeMI Technologies is building with Weaviate, a vector search engine. It is a unique type of AI-first database using machine learning models outputting vectors, also known as ...

For example, a customer service AI assistant supported by a LLM using RAG could instantly access the latest product specifications, pricing and promotional details through vector search, ensuring ...

Generative AI Fueling A Fast-Growing Market. The global vector database market is expected to expand rapidly, from $1.5 billion last year to $4.3 billion by 2028, driven in large part by the expanding ...

For example, integrating a vector database with a Customer Relationship Management (CRM) system to analyze customer interactions mandates optimization for efficient data ingestion.

The benefits of vector databases come largely from their ability to perform approximate nearest neighbor (ANN) search. ANN search rapidly finds the closest vectors in high-dimensional space ...

For example, an agent might use a knowledge graph for task planning or tracking the memory of prior actions taken by other agents, and a vector database for semantic recall.