Retrieve Answers from Knowledge Base with InfraNodus GraphRAG Chatbot — n8n 工作流
概览
Basic AI Chatbot that Retrieves Answers From Knowledge Base Using GraphRAG.
Easiest setup, without vector database, external knowledge base, or OpenAI API keys. All you need is an InfraNodus graph with your knowledge.
In this workflow, user sends a request to the InfraNodus GraphRAG system that will extract a reasoning ontology from a graph that you create (or that you can copy from our repository of public graphs) and generate a response directly to the user.
How it works
Receives a reques
使用的节点
工作流预览
工作原理
- 1
触发器
工作流由 触发器 触发器启动。
- 2
处理
数据流经 5 个节点, connecting chat, chattrigger, n8n-nodes-infranodus.infranodus。
- 3
输出
工作流完成自动化并将结果发送到配置的目标。
节点详情 (5)
Get a response from knowledge base
n8n-nodes-infranodus.infranodus
When chat message received
n8n-nodes-langchain.chatTrigger
Respond to Chat
n8n-nodes-langchain.chat
Webhook
webhook
Respond to Webhook
respondToWebhook
Sticky Note3
stickyNote
如何导入此工作流
- 1点击右侧 下载 JSON 按钮保存工作流文件。
- 2打开你的 n8n 实例,依次点击 工作流 → 新建 → 从文件导入。
- 3选择下载的
retrieve-answers-from-knowledge-base-with-infranodus-graphrag-chatbot文件并点击导入。 - 4为每个服务节点配置 凭证(API 密钥、OAuth 等)。
- 5点击 测试工作流 验证一切正常,然后激活它。
或直接在 n8n → 从 JSON 导入 中粘贴:
集成
创建者
InfraNodus
@infranodus