NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.

Spread the love“`html 1. Understanding MySQL and Its Importance MySQL is one of the most popular relational database management systems (RDBMS) in the world, powering countless applications ranging ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

Python’s lead narrows again, C holds the runner-up spot, C++ returns to third, and SQL climbs back above R in June’s top 10 ...

Nvidia Corp. has bagged itself another artificial intelligence startup, acquiring four-year-old model maker Kumo AI Inc. The company designs AI models focused on making extremely accurate business ...

Abstract: Keyword search in relational databases allows the users to query these databases using natural language keywords, bridging the gap between structured data and intuitive querying. However, ...

How schema-aware AI SQL tools are reducing query failures, improving accuracy rates up to 90%, and helping non-technical teams access enterprise data without waiting for analysts. AI-driven SQL tools ...

Large Language Models (LLMs) are transforming how users approach tasks related to searching, interacting with, and generating new content. These advanced language models have garnered immense ...

On Friday the 13th of March 2026, M.Sc. Valter Uotila defends his PhD thesis on Quantum Computing Methods for Query Optimization in Relational Databases. The thesis is related to research done in the ...

Enterprise AI has a data problem. Despite billions in investment and increasingly capable language models, most organizations still can't answer basic analytical questions about their document ...

Waii’s core technology for translating natural language questions into complex, production-ready SQL queries to be integrated into Data Cloud. Salesforce has signed a definitive agreement to acquire ...