Amazon Web Services (AWS) has announced vector storage for its S3 cloud object storage – S3 Vectors – in a move it claims will reduce the cost of uploading, storing and querying vectorised data in AI ...

Despite the aggressive cost claims and dramatic scale improvements, AWS is positioning S3 Vectors as a complementary storage tier rather than a direct replacement for specialized vector databases.

Vector databases unlock the insights buried in complex data including documents, videos, images, audio files, workflows, and system-generated alerts. Here’s how. The world of data is rapidly changing ...

The AI boom has launched numerous conversations on what's possible as more people grasp AI’s ability to transform the workplace, the economy and society at large. However, as the buzz around this ...

Vector databases and search aren’t new, but vectorization is essential for generative AI and working with LLMs. Here's what you need to know. One of my first projects as a software developer was ...

AI-native vector database startup Weaviate B.V. is expanding into artificial intelligence development with the launch of a new “workbench” that consists of various cloud-based applications and tools ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

The emergence of vector databases and vector search for handling massive quantities of complex data have radically transformed the way AI is implemented and managed. As a specialized approach for ...

A new ecosystem of smaller companies is ushering in a “third wave” of AI-first database technology. New search engines and databases brilliantly answer queries posed in natural language, but their ...

With ChatGPT dominating the space of conversational AI and rapid, helpful response turnout, as well as OpenAI’s open source retrieval plugins for the revolutionary tool, ChatGPT will begin to permeate ...