节点与集成
Vector Store Question Answer Tool
The Vector Store Question Answer node is a tool1 that allows an agent2 to summarize results and answer questions based on chunks from a vector store3.
On this page, you'll find the node parameters for the Vector Store Question Answer node, and links to more resources.
Node parameters
Description of Data
Enter a description of the data in the vector store.
Limit
The maximum number of results to return.
How n8n populates the tool description
n8n uses the node name (select the name to edit) and Description of Data parameter to populate the tool description for AI agents using the following format:
Useful for when you need to answer questions about \[node name]. Whenever you need information about \[Description of Data], you should ALWAYS use this. Input should be a fully formed question.
Spaces in the node name are converted to underscores in the tool description.
Related resources
View example workflows and related content on n8n's website.
Refer to LangChain's documentation on tools for more information about tools in LangChain.
View n8n's Advanced AI documentation.
Footnotes
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In an AI context, a tool is an add-on resource that the AI can refer to for specific information or functionality when responding to a request. The AI model can use a tool to interact with external systems or complete specific, focused tasks.
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AI agents are artificial intelligence systems capable of responding to requests, making decisions, and performing real-world tasks for users. They use large language models (LLMs) to interpret user input and make decisions about how to best process requests using the information and resources they have available.
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A vector store, or vector database, stores mathematical representations of information. Use with embeddings and retrievers to create a database that your AI can access when answering questions.
官方原文和授权
本页来自 N8N 英文官方网站固定快照，并转换成 xueai 静态页面。内容以 N8N 持续更新的官方页面为准。