Google Gemini 嵌入节点#
¥Embeddings Google Gemini node
使用 Embeddings Google Gemini 节点为给定文本生成 embeddings。
¥Use the Embeddings Google Gemini node to generate embeddings for a given text.
本页提供 Google Gemini 嵌入节点的节点参数以及更多资源的链接。
¥On this page, you'll find the node parameters for the Embeddings Google Gemini node, and links to more resources.
Parameter resolution in sub-nodes
Sub-nodes behave differently to other nodes when processing multiple items using an expression.
Most nodes, including root nodes, take any number of items as input, process these items, and output the results. You can use expressions to refer to input items, and the node resolves the expression for each item in turn. For example, given an input of five name values, the expression {{ $json.name }} resolves to each name in turn.
In sub-nodes, the expression always resolves to the first item. For example, given an input of five name values, the expression {{ $json.name }} always resolves to the first name.
节点参数#
¥Node parameters
- 模型:选择用于生成嵌入的模型。
¥Model: Select the model to use to generate the embedding.
了解更多关于 Google Gemini 模型文档 中可用的模型的信息。
¥Learn more about available models in Google Gemini's models documentation.
模板和示例#
¥Templates and examples
相关资源#
¥Related resources
有关服务的更多信息,请参阅 LangChains 的 Google Generative AI 嵌入文档。
¥Refer to Langchain's Google Generative AI embeddings documentation for more information about the service.
View n8n's Advanced AI documentation.