ChatGoogleGenerativeAI

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Node Details

• Name: chatGoogleGenerativeAI
• Type: ChatGoogleGenerativeAI
• Version: 2.1
• Category: Chat Models

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Parameters

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Parameters

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Credential (Required)

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Credential (Required)

• Type: googleGenerativeAI
• Description: Google Generative AI API key

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Inputs

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Inputs

1. Model Name (Required)

   • Type: asyncOptions
   • Default: “gemini-pro”
   • Description: The name of the Google Gemini model to use

2. Model Name (Required)

   • Type: asyncOptions
   • Default: “gemini-pro”
   • Description: The name of the Google Gemini model to use

3. Cache (Optional)

   • Type: BaseCache
   • Description: Caching mechanism for responses

4. Cache (Optional)

   • Type: BaseCache
   • Description: Caching mechanism for responses

5. Custom Model Name (Optional)

   • Type: string
   • Description: Override the selected model with a custom model name

6. Custom Model Name (Optional)

   • Type: string
   • Description: Override the selected model with a custom model name

7. Temperature (Optional)

   • Type: number
   • Default: 0.9
   • Range: 0 to 1
   • Description: Controls the randomness of the output

8. Temperature (Optional)

   • Type: number
   • Default: 0.9
   • Range: 0 to 1
   • Description: Controls the randomness of the output

9. Max Output Tokens (Optional)

   • Type: number
   • Description: Maximum number of tokens in the generated response

10. Max Output Tokens (Optional)

    • Type: number
    • Description: Maximum number of tokens in the generated response

11. Top Probability (Top P) (Optional)

    • Type: number
    • Range: 0 to 1
    • Description: Nucleus sampling, considers the smallest set of tokens whose cumulative probability exceeds the value

12. Top Probability (Top P) (Optional)

    • Type: number
    • Range: 0 to 1
    • Description: Nucleus sampling, considers the smallest set of tokens whose cumulative probability exceeds the value

13. Top Next Highest Probability Tokens (Top K) (Optional)

    • Type: number
    • Description: Considers only the top K most probable tokens for each step

14. Top Next Highest Probability Tokens (Top K) (Optional)

    • Type: number
    • Description: Considers only the top K most probable tokens for each step

15. Harm Category (Optional)

    • Type: multiOptions
    • Options: Dangerous, Harassment, Hate Speech, Sexually Explicit
    • Description: Categories of harmful content to filter

16. Harm Category (Optional)

    • Type: multiOptions
    • Options: Dangerous, Harassment, Hate Speech, Sexually Explicit
    • Description: Categories of harmful content to filter

17. Harm Block Threshold (Optional)

    • Type: multiOptions
    • Options: Low and Above, Medium and Above, None, Only High, Threshold Unspecified
    • Description: Threshold for blocking harmful content

18. Harm Block Threshold (Optional)

    • Type: multiOptions
    • Options: Low and Above, Medium and Above, None, Only High, Threshold Unspecified
    • Description: Threshold for blocking harmful content

19. Allow Image Uploads (Optional)

    • Type: boolean
    • Default: false
    • Description: Enables image upload capability, automatically using vision model when an image is uploaded

20. Allow Image Uploads (Optional)

    • Type: boolean
    • Default: false
    • Description: Enables image upload capability, automatically using vision model when an image is uploaded

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Functionality

1. Initializes the ChatGoogleGenerativeAI model with the provided configuration
2. Applies safety settings based on selected harm categories and thresholds
3. Supports multi-modal interactions if image uploads are allowed
4. Integrates with various LangChain components like LLMChain, Conversation Chain, ReAct Agent, etc.

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Usage

This node is particularly useful for applications that require advanced language understanding and generation capabilities, such as:

• Chatbots and conversational AI
• Content generation
• Text analysis and summarization
• Question-answering systems

The node’s flexibility in configuration allows for fine-tuning the model’s behavior to suit specific use cases and safety requirements.

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Notes

• Ensure you have the necessary Google Generative AI API credentials before using this node.
• Be mindful of the model’s capabilities and limitations when designing your application.
• Properly configure safety settings to align with your application’s content policies.