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HuggingFace 推断嵌入节点(Embeddings HuggingFace Inference node)#

使用 Embeddings HuggingFace 推断节点为给定文本生成 嵌入。

🌐 Use the Embeddings HuggingFace Inference node to generate embeddings for a given text.

本页提供 Embeddings HuggingFace Inference 节点的参数以及更多资源的链接。

🌐 On this page, you'll find the node parameters for the Embeddings HuggingFace Inference, and links to more resources.

凭证

你可以在此处找到此节点的认证信息。

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。

有关可用模型，请参阅 Hugging Face 模型文档 。

🌐 Refer to the Hugging Face models documentation for available models.

节点选项(Node options)#

  • 自定义推断端点：输入由 HuggingFace 托管的已部署模型的 URL。如果设置了此项，n8n 将忽略 模型名称。

有关更多信息，请参阅 HuggingFace 的推断指南 。

🌐 Refer to HuggingFace's guide to inference for more information.

模板和示例(Templates and examples)#

Template widget placeholder.

有关该服务的更多信息，请参考 Langchain 的 HuggingFace 推断嵌入文档。

🌐 Refer to Langchain's HuggingFace Inference embeddings documentation for more information about the service.

View n8n's Advanced AI documentation.