Introduction
This integration enables users to leverage Google’s Gemini Pro LLM model within Clay’s platform to generate text. Gemini, a powerful multimodal AI model, can process and generate various types of content. By incorporating this capability, Clay users can enhance their workflows with advanced text generation, personalization, and other LLM capabilities, tapping into Gemini’s natural language processing for diverse applications and tasks.
Provider: https://gemini.google.com
API Documentation: https://ai.google.dev/gemini-api/docs
Input
Name | Is Optional | Description | Type |
Model | Select the Gemini model for this enrichment to run on [learn more about the available models Gemini offers here.](https://ai.google.dev/gemini-api/docs/models/gemini) | text | |
Prompt | longtext | ||
Define column outputs | true | The column outputs are used to structure the response. Each field here will be extracted to a column in your table. For example, if you add a field "isB2B", and change the type to True/False, each cell will have isB2B to add as a column. | object |
Creativity | true | This determines the creativity of the responses. Lower values are more conservative, higher values are more creative. Defaults to 0.65 | text |
Stop Sequence | true | Truncate response including and after string. | text |
Output Length | true | Maximum number of tokens in response | number |
Top K | true | Number of top-scored tokens to consider during generation | number |
Output
Name | Type |
Response | text |