# GetDot

## Dot

- [README](https://docs.getdot.ai/readme.md): Dot, the data bot is your AI data analyst.
- [Getting Started](https://docs.getdot.ai/getting-started.md): Get answers from your data in under 10 minutes.
- [Analyze](https://docs.getdot.ai/using-dot/analyze.md): Ask anything about your data in plain English. Dot investigates, writes SQL, and answers with cited, verifiable results.
- [Energy modes](https://docs.getdot.ai/using-dot/energy-modes.md): Choose how much capability Dot uses for a question and switch modes in the app, Slack, Teams, or email.
- [Build apps](https://docs.getdot.ai/using-dot/apps.md): Turn any analysis into a living, shareable data app — dashboards, reports, and presentations that stay connected to your data.
- [Scheduling](https://docs.getdot.ai/using-dot/scheduling.md): Automate recurring reports
- [Maintaining Dot](https://docs.getdot.ai/train-dot/maintaining-dot.md): How to keep Dot's answers correct and trusted as your data, your context, and your team change
- [Root: Context Agent](https://docs.getdot.ai/train-dot/context-agent.md): Your AI data team member that builds and maintains your knowledge base
- [Model](https://docs.getdot.ai/train-dot/model.md): Train Dot on your data model, semantic layer, documentation, ...
- [Notes](https://docs.getdot.ai/train-dot/model/notes.md): Context is all you need
- [Version Control](https://docs.getdot.ai/train-dot/version-control.md): Sync your context files with a Git provider for version control, audit trail, and AI/CI interoperability
- [GitHub](https://docs.getdot.ai/train-dot/version-control/github.md): Sync your context files with GitHub for version control and automation interoperability
- [GitLab](https://docs.getdot.ai/train-dot/version-control/gitlab.md): Sync your context files with GitLab for version control and AI/CI interoperability
- [Environments](https://docs.getdot.ai/train-dot/environments.md): Develop and test changes to Dot's knowledge in an isolated environment — then merge them to production when they're ready
- [Permissions](https://docs.getdot.ai/train-dot/permissions.md): permissive or restrictive, however you like it
- [User Feedback](https://docs.getdot.ai/train-dot/user-feedback.md): is valuable input for learning
- [Workspaces](https://docs.getdot.ai/train-dot/workspaces.md): Separate environments for different teams
- [Custom Skills](https://docs.getdot.ai/train-dot/custom-skills.md): Extend what Dot can do.
- [Agent Compute Credits](https://docs.getdot.ai/train-dot/agent-compute-credits.md): How Dot measures usage — and where to find current pricing
- [Embed](https://docs.getdot.ai/developers/embed.md): enable your customers to chat with data & visualize insights
- [API](https://docs.getdot.ai/developers/api.md): automate as much as you like
- [Commonly used Endpoints](https://docs.getdot.ai/developers/api/commonly-used-endpoints.md)
- [Use Cases and Scripts](https://docs.getdot.ai/developers/api/use-cases-and-scripts.md)
- [All API Endpoints](https://docs.getdot.ai/developers/api/all-api-endpoints.md)
- [CLI & AI Agent Skill](https://docs.getdot.ai/developers/cli.md): Give your AI coding assistant direct access to your company's data. One install, and Claude Code, Cursor, Codex, and Gemini CLI can query your databases while you work.
- [MCP](https://docs.getdot.ai/developers/mcp.md)
- [Databases](https://docs.getdot.ai/integrations/databases.md): Connect Dot to your data warehouse
- [Snowflake](https://docs.getdot.ai/integrations/databases/snowflake.md)
- [Immuta](https://docs.getdot.ai/integrations/databases/immuta.md): Query Snowflake with each person's own Immuta access.
- [BigQuery](https://docs.getdot.ai/integrations/databases/bigquery.md)
- [Redshift](https://docs.getdot.ai/integrations/databases/redshift.md)
- [AWS Athena](https://docs.getdot.ai/integrations/databases/aws-athena.md)
- [Databricks](https://docs.getdot.ai/integrations/databases/databricks.md)
- [Postgres](https://docs.getdot.ai/integrations/databases/postgres.md)
- [Microsoft SQL Server](https://docs.getdot.ai/integrations/databases/microsoft-sql-server.md)
- [Microsoft Fabric](https://docs.getdot.ai/integrations/databases/microsoft-fabric.md)
- [Clickhouse](https://docs.getdot.ai/integrations/databases/clickhouse.md)
- [MySQL / MariaDB](https://docs.getdot.ai/integrations/databases/mysql-mariadb.md)
- [Oracle Database](https://docs.getdot.ai/integrations/databases/oracle.md)
- [Motherduck & DuckDB](https://docs.getdot.ai/integrations/databases/motherduck-and-duckdb.md)
- [SAP HANA](https://docs.getdot.ai/integrations/databases/sap-hana.md): Easily talk to your "Systems, Applications, and Products" In-Memory database
- [Google Sheets](https://docs.getdot.ai/integrations/databases/google-sheets.md): Paste a link and query your spreadsheet like a database table — always the live values.
- [Firebolt](https://docs.getdot.ai/integrations/databases/firebolt.md): Connect Dot to Firebolt and ask questions over your sub-second analytics engine.
- [Semantic Layers](https://docs.getdot.ai/integrations/semantic-layers.md): Connect Dot to your semantic layer so answers use your own metric definitions
- [dbt Semantic Layer](https://docs.getdot.ai/integrations/semantic-layers/dbt-semantic-layer.md): Tell Dot about your most important metrics.
- [PowerBI Semantic Layer](https://docs.getdot.ai/integrations/semantic-layers/powerbi-semantic-layer.md): Connect Dot to Power BI semantic models with one click
- [Azure Analysis Services](https://docs.getdot.ai/integrations/semantic-layers/azure-analysis-services.md): Connect Dot to Azure Analysis Services semantic models
- [Looker](https://docs.getdot.ai/integrations/semantic-layers/looker.md)
- [Malloy](https://docs.getdot.ai/integrations/semantic-layers/malloy.md): Connect a Malloy model so Dot answers with your team's own metric definitions
- [Steep](https://docs.getdot.ai/integrations/semantic-layers/steep.md): Connect Dot to Steep to query your metrics using natural language
- [Cube](https://docs.getdot.ai/integrations/semantic-layers/cube.md): Dot answers through your Cube semantic layer, so every number matches your governed definitions.
- [Code Repositories](https://docs.getdot.ai/integrations/code-repositories.md): Connect Dot to your code repositories
- [dbt Core](https://docs.getdot.ai/integrations/code-repositories/dbt-core.md): Enrich your tables with dbt descriptions, SQL, lineage, and data sources
- [dbt Exposures](https://docs.getdot.ai/integrations/code-repositories/dbt-exposures.md): Publish Dot's dashboards and models back into your dbt project as exposures for lineage and impact analysis.
- [BI Tools](https://docs.getdot.ai/integrations/bi-tools.md): Connect your BI tools so Dot learns your business logic, and rebuild dashboards as Dot apps
- [Tableau](https://docs.getdot.ai/integrations/bi-tools/tableau.md)
- [Metabase](https://docs.getdot.ai/integrations/bi-tools/metabase.md)
- [Sigma](https://docs.getdot.ai/integrations/bi-tools/sigma.md)
- [Qlik](https://docs.getdot.ai/integrations/bi-tools/qlik.md): Connect Qlik so Dot can learn from your Qlik apps
- [Knowledge Bases](https://docs.getdot.ai/integrations/knowledge-bases.md): Bring your team's written knowledge — docs, wikis, and tickets — into Dot so its agents can search, read, ask, and (where enabled) write.
- [Slite](https://docs.getdot.ai/integrations/knowledge-bases/slite.md): Ask questions over your Slite knowledge base and let Dot search and read notes.
- [Notion](https://docs.getdot.ai/integrations/knowledge-bases/notion.md): Let Dot read and write your Notion pages, databases, and comments.
- [Confluence](https://docs.getdot.ai/integrations/knowledge-bases/confluence.md): Let Dot read and write your Confluence pages, spaces, and comments.
- [Jira](https://docs.getdot.ai/integrations/knowledge-bases/jira.md): Let Dot read, create, and transition your Jira issues.
- [Google Drive](https://docs.getdot.ai/integrations/knowledge-bases/google-drive.md): Let Dot search and read your Google Drive — Docs, Sheets, Slides, and PDFs — scoped to exactly the folders or drives you choose.
- [Slack & Teams](https://docs.getdot.ai/integrations/slack-and-teams.md): Use Dot where your team works
- [Slack](https://docs.getdot.ai/integrations/slack-and-teams/slack.md): Use Dot where you get work done
- [Reinstall Slack App](https://docs.getdot.ai/integrations/slack-and-teams/reinstall-slack.md): How to remove and reinstall the Dot Slack app
- [Microsoft Teams](https://docs.getdot.ai/integrations/slack-and-teams/microsoft-teams.md): Use Dot where you work with your team
- [Channel Routing](https://docs.getdot.ai/integrations/slack-and-teams/channel-routing.md): Route channels and DMs to specific workspaces
- [Email](https://docs.getdot.ai/integrations/email.md): Ask Dot questions straight from your inbox
- [CSV & Excel Files](https://docs.getdot.ai/integrations/files.md): Drop a CSV or Excel file into Dot and query it like a table.
- [Single Sign On](https://docs.getdot.ai/integrations/sso.md): No more forgotten passwords
- [Azure Active Directory](https://docs.getdot.ai/integrations/sso/azure-active-directory.md): Single Sign-On and permission mapping with Microsoft Entra ID (Azure AD)
- [Okta](https://docs.getdot.ai/integrations/sso/okta.md): Single Sign On - no more forgotten passwords
- [Google](https://docs.getdot.ai/integrations/sso/google.md): Single Sign-On and permission mapping with Google Workspace
- [Generic OIDC](https://docs.getdot.ai/integrations/sso/oidc.md): Single Sign On with any OpenID Connect provider
- [Security & Privacy](https://docs.getdot.ai/security-and-support/security-and-privacy.md)
- [Support](https://docs.getdot.ai/security-and-support/support.md): Whenever, Wherever
- [Core Concepts](https://docs.getdot.ai/ai-analytics-wiki/core-concepts.md)
- [AI Agents](https://docs.getdot.ai/ai-analytics-wiki/core-concepts/ai-agents.md)
- [AI Explainability](https://docs.getdot.ai/ai-analytics-wiki/core-concepts/ai-explainability.md)
- [Artificial Intelligence](https://docs.getdot.ai/ai-analytics-wiki/core-concepts/artificial-intelligence.md)
- [Business Intelligence](https://docs.getdot.ai/ai-analytics-wiki/core-concepts/business-intelligence.md)
- [Data Warehouse](https://docs.getdot.ai/ai-analytics-wiki/core-concepts/data-warehouse.md)
- [Data Lake](https://docs.getdot.ai/ai-analytics-wiki/core-concepts/data-lake.md)
- [Data Visualization](https://docs.getdot.ai/ai-analytics-wiki/core-concepts/data-visualization.md)
- [Large Language Model](https://docs.getdot.ai/ai-analytics-wiki/core-concepts/large-language-model.md)
- [Machine Learning](https://docs.getdot.ai/ai-analytics-wiki/core-concepts/machine-learning.md)
- [Semantic Layer](https://docs.getdot.ai/ai-analytics-wiki/core-concepts/semantic-layer.md)
- [KPI Trees](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees.md): analytics frameworks for each business model
- [Selling Assets](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/selling-assets.md)
- [Leasing Assets](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/leasing-assets.md)
- [Offering Subscription](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/offering-subscription.md)
- [Offering metered Usage](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/offering-metered-usage.md)
- [Licensing Intellectual Property](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/licensing-intellectual-property.md)
- [Selling Service](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/selling-service.md)
- [Selling Outcomes](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/selling-outcomes.md)
- [Taking a cut (Marketplaces)](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/taking-a-cut-marketplaces.md)
- [AirBnB](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/taking-a-cut-marketplaces/airbnb.md)
- [Selling Ads](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/selling-ads.md)
- [Financial Services](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/financial-services.md)
- [Franchising](https://docs.getdot.ai/ai-analytics-wiki/kpi-trees/franchising.md)
- [Use Cases & Prompts](https://docs.getdot.ai/ai-analytics-wiki/use-cases-and-prompts.md)