A step-by-step guide for DevOps teams on reviewing, testing, and enforcing policy checks on AI-generated SQL before it ...

Tiger Data, the creators of TimescaleDB, develops the open-source time-series database built on PostgreSQL. Most time-series performance work starts with the obvious suspect: the fact table. Five ...

In a landmark moment for Indian artificial intelligence, fintech leader Paytm has developed Prism, a proprietary self-organizing multi-agent "swarm" system that has secured the #2 position on the ...

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Microsoft continues adding new features to Microsoft Access despite its plans to retire the Access Database Compare Tool. The latest update expands zoom support across more parts of the app, allowing ...

Abstract: Large language models have demonstrated excellent performance in many tasks, including Text-to-SQL, due to their powerful in-context learning capabilities. They are becoming the mainstream ...

Abstract: Complex multi-table schemas present a primary challenge in Natural Language to SQL (NL2SQL), as Large Language Models (LLMs) consistently struggle to generate correct JOIN clauses. The core ...

A new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or applications. However, to create that necessary understanding, enterprise teams ...

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.

A desktop-only Obsidian plugin that connects to PostgreSQL databases and provides a sidebar interface for browsing schemas, previewing table data, and running SQL queries ...