New MCP server gives AI assistants access to 155M+ US property records for investors and realtors to run property ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
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 ...
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Paytm's Prism AI: India's No 2 global breakthrough in enterprise text-to-SQL ushers in the age of autonomous data intelligence
In a landmark moment for Indian artificial intelligence, fintech leader Paytm has developed Prism, a proprietary ...
Sudhir Hasbe, Neo4j's President and Chief Product Officer, on the strategic shift behind the GraphAware deal, what "open ...
Flatiron Telescope uses AI and transparent SQL to turn real-world evidence into quick turnaround oncology research and ...
Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
Abstract: Natural language interfaces for databases have gained significant attention as organizations seek to democratize data access for non-technical users while maintaining query correctness and ...
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