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Version: 0.0.39

Google

Integrate Google's powerful models within the Lakehousecat environment by following this step-by-step configuration guide. This tutorial will walk you through the setup process necessary to enable seamless interaction with Google's model types, including Chat, Embedding, Text-to-Speech, and Speech-to-Text.

Prerequisites​

Ensure you have the following before beginning the configuration process:

  • Access to Lakehousecat as an admin
  • A valid Google API key
  • Knowledge of Google's model IDs, obtainable from Google documentation

Step-by-Step Guide​

Step 1: Log into Admin Workspace​

  • Access Lakehousecat's Admin Workspace: Begin by logging into your Lakehousecat workspace with sufficient administrative permissions.

Step 2: Navigate to the Models Section​

  • Models Section Access: From the workspace dashboard, locate and click on the 'Models' area to proceed with provider configurations.

Step 3: Select the "Foundation Model" Area​

  • Foundation Model Access: Within the 'Models' section, navigate to the 'Foundation Model' area where you manage advanced AI model integrations.

Step 4: Choose Google Provider​

  1. First Dropdown Menu: Access the dropdown menu in the 'Foundation Model' section.
  2. Select Provider: Choose "Google" as the provider for your model setup.

Step 5: Configure Google Model​

Configure Model Types​

  • Supported Model Types: Google offers several model types, such as:

    • Chat
    • Embedding
    • Text-to-Speech
    • Speech-to-Text

  • Example Configuration: For this guide, we will select the "Chat" model type.

Configuration Details​

  • Configuration Name: Enter a name using consistent naming conventions for efficient identification within Lakehousecat.

  • Google API Key: Input your valid Google API key. Details on obtaining this key can be found within Google’s official documentation.

  • Model ID: Enter the appropriate Google Model-ID. Consult Google documentation for valid IDs.

Step 6: Save and Validate​

  1. Save the Configuration: Once all required fields are populated, click on the Save button.
  2. Internal Validation: Lakehousecat initiates an internal validation of your settings. Ensure all input details are correct.
  3. Model Availability: Upon successful validation, your Google model will be available for use.