Ollama 嵌入节点(Embeddings Ollama node)#
使用 Embeddings Ollama 节点为给定文本生成嵌入。
🌐 Use the Embeddings Ollama node to generate embeddings for a given text.
本页提供 Embeddings Ollama 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 Ollama node, 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。可选择以下选项：
- all-minilm（384 维）
- nomic-embed-text（768 维）
了解有关可用模型的更多信息，请参阅 Ollama 的模型文档。
🌐 Learn more about available models in Ollama's models documentation.
模板和示例(Templates and examples)#
相关资源(Related resources)#
有关该服务的更多信息，请参阅 Langchain 的 Ollama 嵌入文档。
🌐 Refer to Langchain's Ollama embeddings documentation for more information about the service.
View n8n's Advanced AI documentation.