> ## Documentation Index
> Fetch the complete documentation index at: https://koreai.mintlify.app/llms.txt
> Use this file to discover all available pages before exploring further.

# Coda Connector

<Badge icon="arrow-left" color="gray">[Back to Search AI connectors list](/ai-for-service/searchai/content-sources#supported-connectors)</Badge>

The Coda connector enables Search AI to ingest and search content from your Coda account. In Coda, content is organized into **Folders** and **Docs**. Search AI connects to Coda via REST APIs using an API token.

## Specifications

| Specification     | Details        |
| ----------------- | -------------- |
| Repository type   | Cloud          |
| Supported content | Pages and Docs |
| RACL support      | Yes            |
| Content filtering | No             |

## Prerequisites

Generate a Coda API token to authenticate Search AI with the Coda API.

## Generate an API Token

1. Sign in to your [Coda account](https://coda.io).
2. Click your profile picture in the top-right corner and select **API Tokens**.
3. Click **Generate API Token**, provide a name (for example, "Search AI Access"), and click **Generate**.
4. Copy the token.

## Configure the Coda Connector in Search AI

On the **Authorization** page of the Coda connector, enter the following fields and click **Connect**.

| Field         | Value                         |
| ------------- | ----------------------------- |
| **Name**      | Unique name for the connector |
| **SAS Token** | API token generated in Coda   |

## Content Ingestion

After the connector is connected, go to the **Configuration** tab to set up synchronization.

* **Sync Now**: Immediately sync content.
* **Schedule Sync**: Set up automatic sync at a future time or regular interval.

The connector ingests all pages from folders accessible to the configured account. For each page, it ingests the textual content into the content field of the indexed document.

<Note>Search AI does not currently support ingesting content from tables or media elements within pages.</Note>

## RACL Support

The `sys_racl` field in ingested documents stores the email addresses of the document owner and any users with whom the document is directly shared.

Content in public files or files shared via a workspace link is not accessible to users through Search AI.