In the age of generative AI (genAI), vector databases are becoming increasingly important. They provide a critical capability for storing and retrieving high-dimensional vector representations, ...

Despite the aggressive cost claims and dramatic scale improvements, AWS is positioning S3 Vectors as a complementary storage ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Vector databases, a relatively new type of database that can store and ...

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.

As we have noted before, vector databases aren’t new even though people talk about them that way, and in fact can trace their origins back a few decades. Exactly when depends on who you ask, but their ...

Vector databases have been all the buzz in the world of Generative AI. Oracle, a giant in the software and cloud computer industry, announced this week its plans to add AI vectors to Oracle Database ...

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...

According to MarketsandMarkets(TM), the Vector Database Market is expected to be worth USD 2,652.1 million in 2025 and reach USD 8,945.7 million by 2030, growing at a compound annual growth rate (CAGR ...

Vespa.ai, the creator of the AI Search Platform for building and deploying large-scale, real-time AI applications powered by big data, today announced its recognition as a Leader and Outperformer in ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...