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 ...

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the right vector database can make or bre ...

Intelligence is proliferating. As the hurly-burly surrounding development of generative AI (gen-AI) with its use of open Large Language Model (LLM) technologies designed to create ever more human-like ...

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 ...

MongoDB Atlas Vector Search now includes extended capabilities for querying contextual data and performance improvements to accelerate building generative AI applications New integration with ...

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 ...

Generative AI is revolutionizing data and analytics, but its applications demand advanced data management capabilities to handle vast, diverse, and complex datasets that include images, video, audio, ...

If you’re building generative AI applications, you need to control the data used to generate answers to user queries. Simply dropping ChatGPT into your platform isn’t going to work, especially if ...

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 ...

MariaDB announced the general availability of MariaDB Enterprise Platform 2025, the latest major release of its enterprise database solution that now supports AI applications in addition to a full ...

The global vector database market is projected to soar to USD 21.45 billion by 2036, up from USD 3.65 billion in 2026, achieving a CAGR of 19.3%. This growth is fueled by increased emphasis on ...

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...