dbt Core
Enrich your tables with dbt descriptions, SQL, lineage, and data sources
Connect a dbt project repository so Dot understands your transformation logic, lineage, and data sources. This leads to better answers -- Dot can write more accurate SQL, explain where data comes from, and answer broader questions across your data stack.
Connect Your dbt Repository
Go to Settings > Connections and scroll to find dbt Repository.

Option A: Via GitHub App (recommended)
Click Connect GitHub and install the Dot GitHub App on your organization
Select your repository from the dropdown
Set the branch (leave blank for the repository's default branch)
Select the Linked Database Connection -- this tells Dot which database the dbt models target
Click Connect
Option B: Manual
Click Enter manually
Enter the Repository URL (e.g.,
https://github.com/your-org/dbt-analytics)Enter an Access Token (optional for public repos; for private repos, use a GitHub PAT with repo read access)
Set the branch (leave blank for the repository's default branch)
Select the Linked Database Connection
Click Connect
Dot clones the repository, parses the dbt project, and matches models to your existing tables.
What Gets Synced
Dot extracts the following from your dbt project:
Model and column descriptions
Model SQL
Upstream/downstream lineage
Root data sources
Tags and governance metadata
Dot re-syncs periodically, or you can trigger a manual sync from the connection settings.
What It Looks Like
Each matched table shows enriched descriptions, fields, and a compact dbt lineage indicator:

Linked Database Connection
The Linked Database Connection dropdown tells Dot which database to match models against. For example, if your dbt project targets a Snowflake warehouse, select your Snowflake connection. Dot matches models by comparing the model name to table names in that connection.
Allow Dot IPs
If your organization uses IP allowlisting to manage Git access, Dot will only access your repository through the following IPs:
5.78.211.110178.105.217.177
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