ragflow-knowledge
CommunityTurn PDFs into searchable knowledge with RAGFlow.
Authorhepai-lab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
PDFs and long documents are hard to organize and retrieve across personal libraries. This skill provides a structured workflow to ingest PDFs, upload them to a RAGFlow vector knowledge base, and enable efficient retrieval, summarization, and cross-document search.
Core Features & Use Cases
- Ingest PDFs and upload to a RAGFlow dataset with chunking and metadata enrichment for fast retrieval.
- Retrieve and synthesize content across multiple documents using RAGFlow's search, cross-language support, and rerank capabilities.
- Use Case: A researcher builds a personal knowledge base from scattered PDFs and manuals and queries it for precise topics.
Quick Start
Upload PDFs to your RAGFlow dataset and run a retrieval workflow to search across your documents.
Dependency Matrix
Required Modules
python-dotenvdrsai
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ragflow-knowledge Download link: https://github.com/hepai-lab/drsai/archive/main.zip#ragflow-knowledge Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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