Skills ragflow

Universal Ragflow API client for RAG operations. Create datasets, upload documents, run chat queries against knowledge bases. Self-hosted RAG platform integration.

install

source · Clone the upstream repo

git clone https://github.com/openclaw/skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/angusthefuzz/ragflow" ~/.claude/skills/clawdbot-skills-ragflow && rm -rf "$T"

manifest: skills/angusthefuzz/ragflow/SKILL.md

source content

Ragflow API Client

Universal client for Ragflow — self-hosted RAG (Retrieval-Augmented Generation) platform.

Features

Dataset management — Create, list, delete knowledge bases
Document upload — Upload files or text content
Chat queries — Run RAG queries against datasets
Chunk management — Trigger parsing, list chunks

Usage

# List datasets
node {baseDir}/scripts/ragflow.js datasets

# Create dataset
node {baseDir}/scripts/ragflow.js create-dataset --name "My Knowledge Base"

# Upload document
node {baseDir}/scripts/ragflow.js upload --dataset DATASET_ID --file article.md

# Chat query
node {baseDir}/scripts/ragflow.js chat --dataset DATASET_ID --query "What is stroke?"

# List documents in dataset
node {baseDir}/scripts/ragflow.js documents --dataset DATASET_ID

Configuration

Set environment variables in your

.env

RAGFLOW_URL=https://your-ragflow-instance.com
RAGFLOW_API_KEY=your-api-key

API

This skill wraps Ragflow's REST API:

```
GET /api/v1/datasets
```
— List datasets
```
POST /api/v1/datasets
```
— Create dataset
```
DELETE /api/v1/datasets/{id}
```
— Delete dataset
```
POST /api/v1/datasets/{id}/documents
```
— Upload document
```
POST /api/v1/datasets/{id}/chunks
```
— Trigger parsing
```
POST /api/v1/datasets/{id}/retrieval
```
— RAG query

Full API docs: https://ragflow.io/docs

Examples

// Programmatic usage
const ragflow = require('{baseDir}/lib/api.js');

// Upload and parse
await ragflow.uploadDocument(datasetId, './article.md', { filename: 'article.md' });
await ragflow.triggerParsing(datasetId, [documentId]);

// Query
const answer = await ragflow.chat(datasetId, 'What are the stroke guidelines?');