If you’ve ever wanted to create a windows service. Don’t go to MSDN, go to this post at codeproject.com. The post was written in 2003, but nothing has changed as of today using Visual Studio 2005. It is very straightforward, and in the case of setup projects, a picture is worth a 1000 words. You'll have created your own windows service in just a few minutes. Cool. Lots of applications for services..
⚡ TL;DR I helped built a tool that lets you query Tableau’s semantic layer using natural language and AI. By integrating a LangChain agent with Tableau’s VizQL Data Service (VDS), we can repurpose Tableau’s trusted data model for conversational analytics . This means you can ask questions in plain English and get answers backed by the same definitions and security that your Tableau dashboards use. In this post, I’ll introduce this open-source agentic tool ( tableau_langchain ), why it’s transformative for analytics, and how it works under the hood. Why Connect LangChain Agents to Tableau? As a user of Tableau, I’ve seen how powerful Tableau’s semantic layer is. It encapsulates our organization’s business logic: things like predefined metrics, calculations, data relationships, and even row-level security rules. Traditionally, that semantic layer is only accessible through Tableau’s interface – you drag and drop fields to build a viz, and Tableau generates the query for you. Rece...
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