DuckDB has recently announced Quack, a new remote protocol over HTTP that lets multiple DuckDB instances connect to and work ...

Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can ...

DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit ...

Writing code that interacts with LLM services requires bridging two different worlds. Use these tips and techniques to bind ...

We explore how artificial intelligence is being integrated into network management tools, and the challenges it presents.

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI ...

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This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Over the past few years, the AI market has been dominated by models built for unstructured ...

Large language models (LLMs) have fundamentally changed what it means to be found online. These systems do not read content the way a person does, nor do they rank pages the way traditional search ...