mdzaheerjk/Knowledge-Intelligence-System
This project aims to build a RAG-based Knowledge Intelligence System that lets users upload, organize, search, and chat with internal documents via a conversational AI interface. It combines vector retrieval with an LLM to deliver accurate, context-aware answers grounded in user data, with an admin dashboard for content and usage management.
This system helps you quickly find answers and insights from your organization's internal documents, like policies, reports, or manuals, using a conversational AI. You upload your files, and the system lets you search, organize, and chat with the content, providing accurate answers grounded in your specific data. It's ideal for employees, researchers, or support staff who need to access company knowledge efficiently.
Use this if you need a reliable way to get instant, context-aware answers from your company's own documents without sifting through files manually.
Not ideal if you're looking for a general-purpose AI chatbot that pulls information from the public internet rather than your private datasets.
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7
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License
MIT
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Last pushed
Feb 25, 2026
Commits (30d)
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