Rockset Inc., the startup behind the speedy database of the same name, said today it’s expanding the vector search capabilities of its platform. The new features are intended to enable more rapid ...

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 ...

Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) are two distinct yet complementary AI technologies. Understanding the differences between them is crucial for leveraging their ...

Have you ever searched for something online, only to feel frustrated when the results didn’t quite match what you had in mind? Maybe you were looking for an image similar to one you had, or trying to ...

Researchers developed a gorilla adenovirus platform with inherent tumor selectivity, lung tropism, and large-gene capacity.

Scottish deeptech company Vector Photonics has reached a milestone in laser communications, completing the world's first ...

Did you know that over 80% of the data generated today is unstructured? Traditional databases often fall short in managing this type of data efficiently. That’s where vector databases come into play.

BERLIN & NEW YORK--(BUSINESS WIRE)--Qdrant, the leading high-performance open-source vector database, today announced the launch of BM42, a pure vector-based hybrid search approach that delivers more ...

The latest trends in software development from the Computer Weekly Application Developer Network. This week sees the move to general availability for vector search for Amazon MemoryDB. Amazon MemoryDB ...

The dramatic advances in generational AI—chatGPT in particular—have motivated almost all technology companies to find an AI story that can break through the heavily AI-oriented technology news feeds.