ragflowUniversal client for Ragflow API enabling dataset management, document upload, and running chat queries against self-hosted RAG knowledge bases.
Install via ClawdBot CLI:
clawdbot install angusthefuzz/ragflowGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://rag.example.comAudited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
Medical institutions can use this skill to create datasets of clinical guidelines, research papers, and patient education materials. It enables healthcare professionals to quickly query the knowledge base for evidence-based answers, improving decision-making and patient care efficiency.
Law firms can upload case files, statutes, and legal precedents into datasets. Lawyers can run chat queries to retrieve relevant information for cases, streamlining research and reducing manual review time for complex legal documents.
Companies can build knowledge bases from product manuals, FAQs, and support tickets. Customer service agents or chatbots can query these datasets to provide accurate, instant responses to customer inquiries, enhancing support quality and reducing response times.
Universities and researchers can create datasets from academic papers, textbooks, and lecture notes. Students and faculty can use chat queries to find relevant sources or explanations, facilitating learning and accelerating literature reviews for projects.
Businesses can upload regulatory documents, policies, and audit reports into datasets. Compliance officers can query the knowledge base to ensure adherence to laws and internal standards, helping mitigate risks and maintain operational integrity.
Offer this skill as part of a subscription-based service where users pay monthly or annually for access to enhanced Ragflow API features, priority support, and advanced analytics. Revenue is generated through tiered pricing based on usage limits or dataset sizes.
Provide professional services to help businesses integrate this skill into their existing workflows, customize datasets, and train staff. Revenue comes from one-time project fees or ongoing retainer agreements for maintenance and optimization.
Offer a free version with basic dataset management and query capabilities, then charge for advanced features like bulk uploads, API rate limits, or integration with other tools. Revenue is generated through upgrades and add-ons for power users.
💬 Integration Tip
Ensure the Ragflow instance is properly configured with secure API keys and test dataset operations in a staging environment before deploying to production to avoid data loss.
Scored May 17, 2026
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