KeeperDB integrates database access into a zero-trust PAM platform, reducing credential sprawl and improving security, ...

Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Three LangChain flaws enable data theft across LLM apps, affecting millions of deployments, exposing secrets and files.

Oracle has launched new agentic AI innovations for Oracle AI Database that will help customers rapidly build, deploy, and ...

Oracle announces agentic AI capabilities for Oracle AI Database, including Private Agent Factory, Deep Data Security, and ...

Oracle today announced new agentic AI innovations for Oracle AI Database that will help customers rapidly build, deploy, and scale secure agentic AI applications that are suitable for full-scale ...

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In February, a user named EricKeller2 posted on Reddit. “I mapped every connection in the Epstein files,” he wrote. He had built a website and database of more than 1.5 million files related to the ...

This week, we are excited to kick off SQLCon 2026 alongside FabCon in Atlanta. Bringing these SQL and Fabric communities together creates a unique opportunity to learn, connect, and share what’s next ...

Abstract: Text-to-SQL aims to parse natural language problems into SQL queries, which can provide a simple interface to access large databases enabling SQL novices a quicker entry into databases. As ...

Neo4j’s Suhail Gulzar explains why graphs are gaining traction in India for grounding GenAI with context, detecting networked fraud threats and enabling auditable data lineage. Enterprises are ...