Oqura-ai/optim-rag
The rag pipeline for optimizing dynamic data editing.
This tool helps professionals working with frequently updated documents, such as policy manuals, product specifications, or research papers, to keep their AI chatbots current. You upload documents like PDFs or Word files, then use a visual editor to easily add, change, or delete specific sections. The system then ensures your AI model always retrieves the most accurate, up-to-date information for its responses.
Use this if you need to quickly and precisely update the knowledge base of an AI chatbot with content from frequently changing documents.
Not ideal if your data is static or if you primarily need to build a RAG system from scratch without an emphasis on continuous content editing.
Stars
21
Forks
3
Language
TypeScript
License
MIT
Category
Last pushed
Oct 30, 2025
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/rag/Oqura-ai/optim-rag"
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