Skip to main content

ChatGoogleGenerativeAI

Overview​

ChatGoogleGenerativeAI is a wrapper around Google's Gemini large language models that use the Chat endpoint. This feature allows you to integrate powerful AI-driven chat capabilities into your AnswerAI projects, leveraging Google's state-of-the-art language models.

Key Benefits​

  • Access to Google's advanced Gemini AI models for chat applications
  • Customizable settings for fine-tuning model behavior
  • Support for multimodal inputs, including text and images

How to Use​

  1. Set up Google Generative AI credentials:

    • Obtain an API key from Google's Generative AI service
    • Configure the credential in AnswerAI, naming it 'googleGenerativeAI'

  2. Add the ChatGoogleGenerativeAI node to your flow:

    • Locate the node in the 'Chat Models' category
    • Drag and drop it into your workspace

  3. Configure the node:

    • Connect the Google Generative AI credential
    • Select the desired model (e.g., 'gemini-pro')
    • Adjust parameters like temperature, max output tokens, etc.

  4. Connect the node:

    • Link the ChatGoogleGenerativeAI node to other nodes in your flow, such as user inputs or processing steps

  5. Run your flow:

    • Test the chat functionality with sample inputs
    • Observe the AI-generated responses based on your configuration

ChatGoogleGenerativeAI Node Configuration & Drop UI

Tips and Best Practices​

  1. Model Selection: Choose the appropriate model for your use case. 'gemini-pro' is suitable for most text-based chat applications, while 'gemini-pro-vision' or 'gemini-1.5-pro-latest' support multimodal inputs including images.

  2. Temperature Setting: Adjust the temperature (0.0 to 1.0) to control the randomness of the output. Lower values produce more deterministic responses, while higher values increase creativity.

  3. Safety Settings: Utilize the Harm Category and Harm Block Threshold options to control the safety level of the generated content. Refer to the official Google AI documentation for detailed information on these settings.

  4. Token Management: Set an appropriate value for Max Output Tokens to control the length of the generated responses and manage your API usage.

  5. Image Handling: If your application requires image inputs, enable the "Allow Image Uploads" option. This automatically switches to a vision-capable model when images are uploaded in supported chain types.

Troubleshooting​

  1. API Key Issues:

    • Ensure your Google Generative AI API key is correctly set up in the AnswerAI credentials.
    • Verify that the API key has the necessary permissions for the selected model.

  2. Model Availability:

    • If a selected model is unavailable, check if it's supported in your region or if there are any service outages.

  3. Content Filtering:

    • If responses are being filtered unexpectedly, review your safety settings and adjust the Harm Category and Harm Block Threshold options.

  4. Performance Issues:

    • For slow responses, consider reducing the Max Output Tokens or adjusting other parameters that might impact processing time.

  5. Image Upload Problems:

    • Ensure that images are provided as base64 encoded data URLs when using vision-capable models.
    • Verify that the "Allow Image Uploads" option is enabled for multimodal inputs.

For more advanced usage and detailed API documentation, refer to the Google AI Gemini API documentation.