Intercom
Last updated
Last updated
The Intercom Source Connector allows you to integrate Intercom as a data source for your pipelines. This guide explains the configuration options available when setting up a Dropbox connector.
Before starting, you'll need:
The access token for your Intercom app.
To configure a connector to your Intercom instance:
Click Source Connectors from the main menu.
Click New Source Connector from the Source Connectors page.
Select the Intercom card.
Enter the name and your Intercom application access token in the form using the Intercom Parameters table below as a guide, then click Create Intercom Integration.
Name
A descriptive name to identify the connector within Vectorize.
Yes
Access Token
The Intercom application's token.
Yes
Intercom pipeline configuration
Adjust the Intercom pipeline configuration parameters if needed, using the Intercom Pipeline Configuration Parameters table below as a guide, or leave them at the default settings.
Click Save Configuration when done.
Reindex Interval (seconds)
60
How often the pipeline will reindex.
Limit
10000
The number of messages that will be processed per channel during your pipeline's initial backfilling stage. There are no limits on how many messages will be processed after the pipeline has backfilled.
Created At
none
The date a message thread was created.
Updated At
none
The date a message thread was updated.
Filter Logic
AND
Controls the logic applied to all filters. Options: - AND - OR Example: "created at 2025-10-01 and updated at 2025-10-02" vs. "created at 2025-10-01 or_ updated at 2025-10-02"
Tags
none
Specifies tags to identify messages to pull into your pipeline.
Tag Logic
OR
Controls the logic applied to all tags. Options: - AND - OR Example: "tags include both beta and UI" vs. "tags include either beta or UI"
State
Closed
Messages states to include. Options: - Open - Closed - ALL
If you haven't yet built a connector to your vector database, go to Configuring Vector Database Connectors and select the platform you prefer to use for storing output vectors.
OR
If you're ready to start producing vector embeddings from your input data, head to Pipeline Basics. Select your new connector as the data source to use it in your pipeline.
