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.
GitHub

Query your Delta Tables as a Graph

Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...
techxplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
IEEE

A Comparative Study of Machine Learning and Large Language Models for SQL and NoSQL Injection Vulnerability Detection

The exponential growth of data in relational (SQL) and non-relational (NoSQL) databases has led to an increase in injection attacks, ranking them among the top cybersecurity threats. This study ...
IEEE

SPG-SQL: Semantic Path Guided SQL Generation Model with Gumbel-Enhanced Graph Pruning

Abstract: Aiming to reduce the learning cost of database operations, Text-to-SQL methods provide a strategy of automatically generating structured query language (SQL), which is an active research ...