The additions aim to help developers reduce complex data joins and query latency as enterprises scale AI agents.

PuppyGraph raised $10 million to rethink how enterprise AI agents query business data, as CEO Weimo Liu challenges Neo4j and ...

PuppyGraph, the graph query engine for enterprise AI agents, today announced a $10 million Series A led by Particle Future and defy.vc, bringing total funding to $15 million. The round comes after the ...

NVIDIA has open-sourced Auto Ontology, a framework designed to make AI agents more reliable when querying enterprise databases using natural-language instructions. The system creates a semantic layer ...

Explore server-side performance optimization with profiling, slow query analysis, caching and concurrency fixes for faster ...

Good instincts for numbers only get a business analyst so far. The right tools are what turn a pile of raw data into reports people can use. Sales figures, cust ...

Cheaper AI models can still drive higher enterprise costs as agents generate more queries, retries, and data movement. Discover how workload placement and cost per completed task can help control ...

The new capabilities aim to help developers simplify enterprise data retrieval, maintain agent context across sessions, and ...

Query live data across BigQuery, databases, and Looker in plain language with Data Cloud connectors in Gemini, grounded by Knowledge Catalog.

AI in Code Generation - Artificial intelligence has changed how software gets built, tested, and maintained. Jobs that used ...

Web application firewall rules help filter threats, manage bots and protect APIs. See how to tune controls without blocking ...