⚡ 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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