Azure OpenAI 嵌入节点#
¥Embeddings Azure OpenAI node
使用 Embeddings Azure OpenAI 节点为给定文本生成 embeddings。
¥Use the Embeddings Azure OpenAI node to generate embeddings for a given text.
本页提供 Azure OpenAI 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 Azure OpenAI 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.
节点选项#
¥Node options
- 模型(部署)名称:选择用于生成嵌入的模型(部署)。
¥Model (Deployment) Name: Select the model (deployment) to use for generating embeddings.
- 批处理大小:请输入每次请求发送的最大文档数。
¥Batch Size: Enter the maximum number of documents to send in each request.
- 去除换行符:选择是否从输入文本中删除换行符(已启用)或不删除(已禁用)。n8n 默认启用此功能。
¥Strip New Lines: Select whether to remove new line characters from input text (turned on) or not (turned off). n8n enables this by default.
- 超时:输入请求可以执行的最长时间(以秒为单位)。设置为
-1可无超时限制。
¥Timeout: Enter the maximum amount of time a request can take in seconds. Set to -1 for no timeout.
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 OpenAI 嵌入文档。
¥Refer to LangChains's OpenAI embeddings documentation for more information about the service.
View n8n's Advanced AI documentation.