N8N Community Node for interacting with RAGFlow (Infiniflow). Supports listing datasets, smart text upsert (auto .txt extension and file upload), and optimized retrieval for AI agents.
npm install ragflow-fileupload-n8nThis is an n8n community node for interacting with RAGFlow, an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
- Dynamic Dataset Selection: Automatically fetches your RAGFlow datasets into a dropdown list.
- Smart Text Upsert:
- Automatically appends .txt extension to text content uploads (fixing "file type not supported" errors).
- Supports Skip or Overwrite strategies for duplicate documents.
- Note: Triggers parsing automatically using RAGFlow's document chunking API.
- AI-Optimized Retrieval:
- Returns a flattened context_text field ready for direct injection into LLM Prompts.
- Provides detailed chunks array with similarity scores and document mapping.
1. Upsert Text (Email/Content): Upload text content to a dataset.
2. Retrieve (Search/Chat): Search your dataset for relevant context based on a query.
1. Go to Settings > Community Nodes in your n8n instance.
2. Select Install.
3. Enter n8n-nodes-ragflow.
4. Agree to the risks and install.
To install this node manually (e.g., for development):
1. Go to your n8n root directory (e.g., ~/.n8n).
2. Clone this repository or copy the files into custom/n8n-nodes-ragflow.
3. Run npm install and npm run build inside the node directory.
4. Restart n8n.
You need a RAGFlow API Key.
1. Log in to your RAGFlow console.
2. Go to User Profile / Settings -> API Keys.
3. Create a new key.
4. In n8n, add a new RAGFlow API credential and paste the key.
- Base URL: The URL of your RAGFlow instance (e.g., http://localhost:9380 or https://demo.ragflow.io). Do not add /api/v1 to the end, the node handles it.
- Tested with RAGFlow v0.16.0+ (Docker version).
- Compatible with n8n v1.0+.
MIT