To start using an Amazon Bedrock model with Cognigy.AI features, follow these steps:
Add Models
You can add a model using one of the following interfaces:Add Models via GUI
You can add a model provided by Amazon Bedrock to Cognigy.AI in Build > LLM. To add the model, you will need the following parameters:- Standard Model
- Custom Model
| Parameter | Description |
|---|---|
| Access Key ID | Enter the Access Key ID. Log in to the AWS Management Console, go to the IAM dashboard, select Users, and choose the IAM user. Navigate to the Security credentials tab, and under Access keys, create a new access key if one hasn’t been created. Copy the Access Key ID provided after creation. |
| Secret Access Key | Enter the Secret Access Key. After creating the access key, you’ll be prompted to download a file containing the Access Key ID and the Secret Access Key. Alternatively, you can retrieve the Secret Access Key by navigating to the IAM dashboard, selecting the user, going to the Security credentials tab, and clicking Show next to the Access Key ID to reveal and copy the Secret Access Key. |
| Region | Enter the AWS region where your model is located, for example, us-east-1 for the US East (N. Virginia) region. |
Apply the Model
To apply a model, follow these steps:- In the left-side menu of the Project, go to Manage > Settings.
- Go to the section based on your use case for using a model:
- Generative AI Settings. In the Generative AI Settings section, activate Enable Generative AI Features. This setting is toggled on by default if you have previously set up the Generative AI credentials.
- Knowledge AI Settings. Use this section if you need to add a model for Knowledge AI. Select a model for the Knowledge Search and Answer Extraction features. Refer to the list of standard models and find the models that support these features.
- Navigate to the desired feature and select a model from the list. If there are no models available for the selected feature, the system will automatically select None. Save changes.