SurrealDB 3.0 wants to replace your five-database RAG stack with one

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.

Amid nationwide land rush, SMUD convenes special meeting on data centers

The Sacramento Municipal Utility District has received so many inquiries about data centers in its territory it convened a ...
blockchain

OnchainDB Builds Pay-Per-Query Database on Celestia's 1Tb/s Infrastructure

OnchainDB leverages Celestia's upcoming Fibre upgrade to create micropayment-enabled database infrastructure for AI agents, turning every API call into a monetizable transaction. Celestia's modular ...
IEEE

Privacy-Preserving Graph Similarity Matching Query Over Encrypted Graph Database

Abstract: Privacy-Preserving Graph Similarity matching Query (PPGSQ) can retrieve the encrypted data graphs that approximately match with the encrypted query graph ...
IEEE

EPSet: Efficient and Privacy-Preserving Set Similarity Range Query Over Encrypted Data

Abstract: Set similarity query is a fundamental query type in various applications, such as clinical diagnosis, online shopping, and mobile crowdsensing. Meanwhile, as the prevalence of outsourced ...