Getting started
What is GoPie
GoPie is a data platform that turns files and databases into queryable, chat-ready datasets. Upload a CSV or connect a database, and you get a live table you can query with SQL, ask questions about in plain language, and build dashboards on.
Every AI answer is grounded in real queries against your data. When you ask a question in chat, the agent writes SQL, runs it, and shows you the answer together with the query that produced it — so you can verify every claim.
The building blocks#
| Concept | What it is |
|---|---|
| Organization | The people you work with and the workspace you share |
| Project | Groups related datasets, documents, dashboards and reports |
| Dataset | One table — an uploaded file or a database source |
| View | Saved SQL that behaves like a virtual dataset |
| Chat | A conversation with your data, with citations |
| Dashboard | A canvas of charts — AI-generated or hand-built |
| Report | A frozen, shareable snapshot of an analysis |
A typical setup looks like this: a Sales Analytics project holding an Orders dataset, a view that filters it to the current quarter, a dashboard tracking revenue by category, and a chat where you ask follow-up questions.
Three ways to work with your data#
- Write SQL. Every dataset opens into a SQL editor with autocomplete and instant results. Start with Query with SQL.
- Ask in plain language. Chat finds the right datasets, writes and runs the SQL, and cites its sources. Start with Chat with your data.
- Generate dashboards. Describe what you want to track and GoPie builds a chart canvas you can refine. Start with Generate your first dashboard.
You move between the three freely — a question answered in chat can become a saved view, and a saved view can feed a dashboard.
Beyond the app#
Every dataset also gets an instant REST API with filtering, pagination and ready-made code snippets, so the data you upload is immediately usable from your own applications. The whole platform can be self-hosted; deployment docs are covered in a later section.
Where to go next#
The Quickstart walks the full loop — create a project, upload your first dataset, and run your first query. Then read AI in GoPie to see how the agent keeps its answers grounded.