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 ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now In 2014, a breakthrough at Google ...

When Aquant Inc. was looking to build its platform — an artificial intelligence service that supports field technicians and agents teams with an AI-powered copilot to provide personalized ...

In today’s data-driven world, the exponential growth of unstructured data is a phenomenon that demands our attention. The rise of generative AI and large language models (LLMs) has added even more ...

Increase productivity and eliminate developer stopgaps by evolving the way you manage databases. Software development has come a long way in the past few decades, but data management hasn’t. It’s time ...

Cloud databases, also known as Database as a Service (DBaaS), offer a range of benefits for developers, particularly in terms of ease of use, deployment options, disaster recovery, and scalability.

Most people open Notion, create a few pages to jot down notes, feel good about it—and never go any further. I did the same for longer than I’d like to admit. However, you aren’t really using Notion ...

MongoDB is still the most popular NoSQL document database for developers, but compatible alternatives such as DocumentDB offer more choices than ever. At Open Source Summit Europe in August, the Linux ...

Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.

Naresh Miryala is an accomplished engineering leader at Meta with nearly two decades of experience in cloud and data platform engineering. As someone deeply involved in the database space, the rapid ...