Adding Embedding Models

Add an OpenAI Embedding Model

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1. Click the "Connections" dropdown

Navigate to "Connections" tab.

Click the 'Connections' dropdown

2. Click "Embeddings"

Select the "Embeddings" option from the menu.

Click 'Embeddings'

3. Click "New Model"

Click on "New Model" to create a new embedding model.

Click 'New Model'

4. Enter a name to identify your embedding model

Provide a unique name to identify your embedding model.

Enter a name to identify your embedding model

5. Select "OpenAI" from the list of Embedding Models

Select "OpenAI" from the list of Embedding Models

Select 'OpenAI' from the list of Embedding Models

6. Select your specific model embedding model

Select your specific model embedding model

Select your specific model embedding model

7. Enter your OpenAI API Key

Enter your OpenAI API Key

Enter your OpenAI API Key

8. Click "Test Connection"

Test the connection by clicking on "Test Connection."

Click 'Test Connection'

9. Click "Save"

If your connection test is successful, you should be able to save the connection

Click 'Save'

Add a Cohere Embedding Model

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1. Click the "Connections" dropdown

Access your data connections.

Click the 'Connections' dropdown

2. Click "Embeddings"

Navigate to the embeddings section.

Click 'Embeddings'

3. Click "New Model"

Create a new model for embeddings.

Click 'New Model'

4. Enter a name to identify your embedding model

Name your embedding model.

Enter a name to identify your embedding model

5. Select "Cohere" from the list of Embedding Models

Choose the desired model source.

Select 'Cohere' from the list of Embedding Models

6. Select your specific Cohere model from the list

Select the embedding type.

Select your specific Cohere model from the list

7. Enter your API Key

Provide your API key.

Enter your API Key

8. Click "Test Connection"

Verify the connection.

Click 'Test Connection'

9. Click "Save"

If your connection test is successful, you should see a button to save your connection

Click 'Save'

Add a Google Gemini Embedding Model

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1. Retrieve your Google Gemini API Key

Navigate to the Google AI for Developers page within your Google Cloud console (https://ai.google.dev/gemini-api/docs/api-key). Note you need to have an active billing account

Retrieve your Google Gemini API Key

2. You will be redirected to the Google AI Studio page where you can create your API Key

You will be asked to select your project before creating the key

You will be redirected to the Google AI Studio page where you can create your API Key

3. Click the "Connections" dropdown

Navigate to the "Connections" tab in the application.

Click the 'Connections' dropdown

4. Click "Embeddings"

Proceed to the "Embeddings" section within the platform.

Click 'Embeddings'

5. Click "New Model"

Select the option to create a new model for Google Gemini embedding.

Click 'New Model'

6. Enter a name to identify your embedding model

Provide a unique identifier for your new embedding model.

Enter a name to identify your embedding model

7. Select "Google Gemini" from the list of Embedding Models

Choose the desired model source.

Select 'Google Gemini' from the list of Embedding Models

8. Select your specific Gemini model from the list

Select the embedding type.

Select your specific Gemini model from the list

9. Enter your API Key

Provide your API Key.

Enter your API Key

10. Click "Test Connection"

Verify the connection by clicking on "Test Connection".

Click 'Test Connection'

11. Click "Save"

If your connection test is successful, you should see a button to save your connection

Click 'Save'