Introducing Fabric-RLM
An OSS Recursive Language Model harness in Fabric for long-context, data-intensive tasks
Sep 25, 2026
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RANCH: Data Agent Responses API Notebook Conversion Helper
In case you missed it, Open AI announced the deprecation of Assistant API a while ago. In response to that, Fabric data agent is moving from the Assistant API to the Responses API. You have to migrate
Aug 16, 2026RAG in Fabric Notebook Using Microsoft Harrier Multilingual Text Embedding Model
Last week Microsoft released an open-source text embedding model called Harrier in three sizes- 270M, 0.6B and 27B. I have been testing it in my RAG pipeline and so far it has crushed all my metrics.
Apr 14, 2026Programmatically Retrieve Prep Data For AI Configuration of Semantic Models
For Power BI Copilot and Data agents with semantic models, you must use Prep Data for AI configuration to ground the responses in the context added in Prep for AI. In this blog, I will show you how yo
Apr 2, 2026Cross-referencing Notebooks In The Updated Fabric Notebook Copilot
At FabCon Atlanta last week, the updated notebook Copilot for data engineering and data science was announced. It brings agentic capabilities to the Copilot and is much more intelligent and Fabric-awa
Mar 24, 2026Programmatically Comparing Draft vs Production Fabric Data Agent Responses
Using Fabric data agent Python SDK
Jan 16, 2026Monitoring Power BI Modeling MCP Server Usage and Adoption
Use workspace monitoring to monitor MCP server use
Dec 14, 2025Unstructured Data Extraction Using AI Functions in Dataflow Gen2
Three and a half years ago, in pre-AI age, I wrote a blog post titled “Extracting Matching Words Using A Pre-Defined List in Power Query/M”. I helped a colleague extract certain error codes/phrases from sentences using M. It felt great to wield the M...
Dec 5, 2025Quick Test : Using Fabric AI Services To Detect Power BI Reports With Errors
If you follow me on LinkedIn or Twitter, you may have seen my posts about using AI to detect Power BI reports with errors, visualizations that lack accessibility etc. All those posts used Gemini models because of their strong multi-modal performance....
Nov 5, 2025