AI Knowledge Base – RAG & AI Knowledge Management System

AI Knowledge Base is a powerful, modern knowledge management platform designed for building AI-powered applications with Retrieval-Augmented Generation (RAG).

The system allows users to collect, organize, search, update, and index knowledge sources while generating vector embeddings for efficient AI retrieval. It provides a professional dashboard for managing business knowledge and preparing data for AI assistants and intelligent applications.

With support for document uploads, website crawling, knowledge categories, version history, content editing, chunk inspection, vector-store statistics, and an interactive RAG playground, this template provides a strong foundation for developers building custom AI knowledge systems.

Key Features:

• 🤖 AI-powered knowledge management
• 🔎 RAG retrieval playground
• 🧠 Vector embedding support
• 📄 Document/knowledge source ingestion
• 🌐 Website crawling and re-sync
• 🗂️ Knowledge categories and organization
• 📝 Edit and update knowledge sources
• 🕒 Version history management
• 🧩 Content chunk inspection
• 📊 Vector store statistics
• 🔄 Re-indexing and website synchronization
• ⚡ Modern React + TypeScript interface
• 🎨 Professional dark dashboard UI
• 🔐 Server-side Gemini API integration
• 📱 Responsive modern interface

Technologies

• React 19
• TypeScript
• Vite
• Google Gemini API
• @google/genai
• Express
• Tailwind CSS
• Lucide React
• Motion
• Cheerio
• Mammoth
• Node.js

What’s Included

• Complete source code
• React frontend
• Express/Node.js server
• AI/Gemini integration
• Knowledge management components
• RAG playground
• Upload and editing interfaces
• Version history
• Category management
• Chunk inspector
• Configuration files
• README documentation