01
Getting started
From sign-in to first answers — upload a dataset, query it, chat with it and generate a dashboard.
Documentation
Learn GoPie
Guides, references and how-tos for uploading, querying, chatting with and building on your data.
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01 · Browse
Browse by topic.
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02
Datasets & sources
Everything about getting data into GoPie and keeping it healthy — uploads, database and cloud sources, refresh schedules, settings, and version history.
03
Query & analyze
The SQL playground, saved views, per-dataset REST APIs, and downloads.
04
Chat
How the SQL agent works, choosing chat contexts, reading grounded answers, and keeping the results.
05
Chat integrations
Ask GoPie and get answers inside Slack, Microsoft Teams and Google Chat — with report delivery to your channels.
06
Dashboards
Live, AI-generated dashboards — generation, the canvas, dashboard chat, and version history.
07
Reports
Frozen, citable deep-dive documents generated from a saved list of business questions.
08
Context & knowledge
Descriptions, documents, dictionaries, and custom prompts — the context that makes AI answers smarter.
09
Collaboration & admin
Organisations and members, the two-axis role model, sharing resources with teammates, and the system admin console.
10
Account & settings
Your profile and security settings, applications and API keys, and getting around GoPie with search and shortcuts.
11
API & MCP
12
Trust & security
2 articles
13
Self-hosting
Run GoPie on your own infrastructure — Docker Compose, Kubernetes, configuration.
Coming soon
02 · Popular
Popular articles.
The pages most people open first.
01 Quickstart Sign in, get your bearings, and create your first project in a few minutes. 02 How the SQL agent works The tool loop behind every chat answer — schema search, SQL generation with self-repair, fuzzy value matching, and what keeps answers grounded. 03 Uploading files Formats, size limits, the upload wizard in Manual and Auto-pilot modes, and what happens after you select Create. 04 Querying data The endpoints that read your data over HTTP — the /tables REST facade, arbitrary read-only SQL, natural-language SQL, schemas, summaries and dialect discovery. 05 Tips for better questions How to phrase questions the SQL agent answers well — specificity, time windows, business terms, and productive follow-ups. 06 AI dashboard generation One-click generation from a dataset or view, and the multi-dataset project wizard — with every phase streamed as it happens.