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Create Embeddings in Fabric Eventhouse with built-in Small Language Models (SLMs)

What if generating embeddings in Eventhouse didn’t require an external endpoint, callout policies, throttling management, or per‑request costs? That’s exactly what slm_embeddings_fl() delivers: a new user-defined function (UDF) that generates text embeddings using local Small Language Models (SLMs) from within the Kusto Python sandbox, returning vectors that you can immediately use for semantic search, similarity … Continue reading “Create Embeddings in Fabric Eventhouse with built-in Small Language Models (SLMs)”

Microsoft Fabric 2025 holiday recap: Unified Data and AI Innovation

As 2025 ends, we’re taking a moment to reflect on Microsoft Fabric’s second year in the market and the collective progress made alongside our community, customers, and partners. What began as a unified vision for data and AI has grown into a platform adopted by more than 28,000 organizations worldwide, anchored by OneLake and shaped … Continue reading “Microsoft Fabric 2025 holiday recap: Unified Data and AI Innovation”

Understanding Operations Agent Capacity Consumption, Usage Reporting and Billing (Preview)

At Ignite, we announced operations agents that helps create autonomous agents that monitor data, infer goals, and recommend actions. Soon, we will enable billing for these agents as the Preview period continues. Operations agents will use Fabric Capacity Units (CU) like any other Fabric features. In the Capacity Metrics App, you’ll find the following operations show … Continue reading “Understanding Operations Agent Capacity Consumption, Usage Reporting and Billing (Preview)”

How does Fabric make Spark Notebooks Instant?

Discover how Microsoft Fabric’s Forecasting Service system reduces Spark startup latency and cloud costs through proactive AI and ML-driven resource provisioning. Context & Relevance Waiting minutes for a Spark cluster to become available can throttle analytics velocity, delay insights, and drive-up cloud spend. In a world where data teams expect near‐instant execution and seamless burst … Continue reading “How does Fabric make Spark Notebooks Instant?”

AI-powered troubleshooting for Fabric pipeline error messages

Troubleshooting pipeline failures can be overwhelming, especially when a single run throws dozens or even hundreds of errors. The new Error Insights Copilot in Fabric makes this process faster, smarter, and easier. Powered by AI, Copilot provides clear explanations, root cause analysis, and actionable recommendations, so you can resolve issues without getting lost in technical … Continue reading “AI-powered troubleshooting for Fabric pipeline error messages”