SurrealDB 3.0 launches with $23M in new funding and a pitch to replace multi-database RAG stacks with a single engine that handles vectors, graphs, and agent memory transactionally.
Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today's semantic search, recommendation engines, anti-fraud ...
A next-generation graph-relational database (DB) system has been developed in South Korea. If this system is applied in industrial settings, artificial intelligence (AI) will be able to perform ...
COMPANY NEWS: MongoDB enables millions of developers to securely build AI applications on any infrastructure, from local machines to on-premises data centres. MongoDB, Inc. (NASDAQ: MDB) today at its ...
SurrealDB Inc. today revealed that it has raised an additional $23 million in funding for its multimodel artificial intelligence-native database.
SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?
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