| name | ragflow-pipeline |
| description | Deep document understanding RAG engine with RAGFlow |
| version | 1.0.0 |
| tags | ["ai","rag","documents","search"] |
RAGFlow – Document RAG Engine
RAGFlow is an open-source RAG engine with deep document understanding
for trustworthy question-answering from complex documents.
- GitHub: github.com/infiniflow/ragflow (40 000+ ⭐)
- License: Apache-2.0
- Security: Active development. No malware.
Environment Variables
| Variable | Description |
|---|
{{RAGFLOW_URL}} | Base URL of the RAGFlow instance |
{{RAGFLOW_API_KEY}} | API key |
Usage Examples
Query a knowledge base
curl -s -X POST "{{RAGFLOW_URL}}/api/completion" \
-H "Authorization: Bearer {{RAGFLOW_API_KEY}}" \
-H "Content-Type: application/json" \
-d '{"question": "What are the key findings?", "stream": false}'
AI Agent Tips
- Supports PDF, Word, Excel, PPT, and image documents.
- Deep layout analysis and table extraction for complex documents.
- Chunk-level citations for verifiable answers.
- Visual pipeline builder for custom RAG workflows.