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.

“Bringing vector search natively to the database server lets customers extend the same database they’re already using throughout their organization to new AI applications. We’ve also prioritized peace ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

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 ...

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 ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

SANTA CLARA, Calif.--(BUSINESS WIRE)--DataStax, the real-time AI company, today announced the general availability (GA) of its vector search capability in Astra DB – the popular database-as-a-service ...

Tools like Semantic Kernel, TypeChat, and LangChain make it possible to build applications around generative AI technologies like Azure OpenAI. That’s because they allow you to put constraints around ...

Machine learning is primarily concerned with accuracy and pattern recognition, while natural language processing (NLP) is concerned with computer-human language interactions, specifically how to ...