LaunchKit · 2026
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ragflow

Universal Ragflow API client for RAG operations.

3
542 downloads
by @angusthefuzz

Setup & Installation

openclaw skills install @angusthefuzz/ragflow

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install ragflow

Version History

v1.0.2Feb 14, 2026 - Version note by skill developer:

Fixed metadata: env vars now properly declared at top level with security note

What This Skill Does

API client for RAGFlow, a self-hosted RAG platform. Manages datasets, uploads documents, and runs retrieval-augmented generation queries against local knowledge bases.

Keeps all RAG operations on self-hosted infrastructure, avoiding cloud AI service dependencies and data leaving your environment.

When to use it

  • Query internal documentation with natural language questions
  • Upload research papers to a private knowledge base
  • Create separate datasets for different projects or teams
  • Retrieve answers from a self-hosted medical or legal knowledge base
  • Automate document ingestion and parsing pipelines

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: What are the stroke treatment guidelines?

AGENT
  1. 1Create a dataset named 'Medical Guidelines'
  2. 2Upload stroke guideline documents to the dataset
  3. 3Trigger parsing and chunking of the uploaded documents
  4. 4Run a chat query against the dataset with the user's question
OUTPUT

Retrieved answer with relevant passages from the stroke guideline documents

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

Self-hosted RAGFlow instance with a known URL (set as RAGFLOW_URL)RAGFlow API key with dataset and file management permissions (set as RAGFLOW_API_KEY)