Front Connector

Front is a customer communication hub that streamlines conversations, enhances team collaboration, and provides a unified view of messages from various channels with the help of team inboxes and knowledgebase capabilities. Using the Search AI connector for Front, you can ingest and index content from your Front knowledge bases and enable efficient search capabilities on the content.

Type of Repository	Cloud
Content Supported	Knowledgebase Articles
RACL Support	Yes
Content Filtering	No

Integration Steps

To enable integration between Search AI and Front and ingest content from your Front account, follow these steps:

1. Generate an API Token for Front
2. Configure the Front Connector in Search AI

Generate an API Token

Search AI uses Front APIs to access the content. Hence, it requires an API token to establish communication. Follow these steps to generate the token:

1. Log in to Front Account. Ensure that the account has admin access.
2. Navigate to Settings and the Developer section.
3. Go to the API token tab. Click on Create Token and provide a name for the token. Select the scopes required to access knowledgebase articles. Click Create.
4. Copy the generated API token. This token will be required for connector configuration in Search AI.

Configure the Front Connector in Search AI

1. Navigate to the Connectors Page.
2. Click Add Connector and select Front from the list of available connectors.
3. Provide the following configuration details.
   1. Name: Unique name for the connector
   2. API Token: Token generated in the Front App
4. Click Connect to authenticate and establish the connection.

Ingesting Content

After successfully connecting the Search AI connector to the Front account, go to the Configuration tab and set up content synchronization. For immediate sync, use the Sync Now option and the Schedule Sync option to set up a scheduler to sync the content in the future.

Upon sync, Search AI ingests Knowledge base articles from all the associated Knowledge bases in the Front account. The content and metadata of the articles are ingested in JSON format in Search AI. Go to the content tab to view the ingested content.

RACL Support

RACL is implemented on the basis of type of visibility of the knowledgebase in Front.

For Internal Knowledge Bases:

Each internal knowledge base is uniquely identified by a knowledge_base_id, which is used as the value for the sys_racl field in all articles associated with that knowledge base.

Example: For an article belonging to a knowledge base with id = knb_deip, the sys_racl would be like:

"sys_racl": [
     "knb_deip"
 ]

To provide access to users, use the Permission Entity APIs and associate users with a knowledge base ID.

For External Knowledge Bases:

When the knowledge base is set to external, the sys_racl field is automatically set to *, granting universal access.