RAGFlow – Document RAG Engine

SkillDocs & knowledge

Deep document understanding RAG engine with RAGFlow

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the RAGFlow skill

What this skill tells your AI

The instructions your AI receives, as published by bidewio/better-openclaw in skills/ragflow-pipeline/SKILL.md and read by ahel’s review.

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.

Signals

GitHub stars: 58
Forks: 6
Last commit: Aug 2026

Advanced

Item type: skill
Key: ragflow-pipeline
Source: github.com/bidewio/better-openclaw

github.com/bidewio/better-openclaw