AI database RegattaDB combines transactions, analytics, and vector database capabilities to power enterprise AI agents with real-time, unified data.

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 ...

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 ...

Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be ...

After trying to broaden its user base to include traditional database professionals last year, MongoDB is switching gears, adding features to turn its NoSQL Atlas database-as-a-service (DBaaS) into a ...

When Edo Liberty was completing his Ph.D. in Computer Science at Yale on random projections, he could have hardly known that a decade later it would be a fundamental component of modern AI. Liberty is ...

Built by the team behind Amazon SageMaker. Having attracted investment by Wing Venture Capital, with Wing's Founding Partner and early Snowflake investor, Peter Wagner, joining startup Pinecone's ...

Learn how to use vector databases for AI SEO and enhance your content strategy. Find the closest semantic similarity for your target query with efficient vector embeddings. A vector database is a ...

For a long time, vector databases were a bit of a niche product, but because they are uniquely suited to provide context and long-term memory to large language models, everybody in the database space ...