Скачать или смотреть I Built a RAG App That Lets You Chat With ANY PDF or File Using AI

Chat with PDF documents and other file types, using AI with this free, open-source document chat system. Upload PDFs, Word docs, and other files to ask questions and get instant AI-powered answers—just like ChatPDF, AskYourPDF, and ChatDOC, but completely free and self-hosted.

Timestamp:
0:00 Introduction
1:08 Get Started / Login / Signup
2:52 Dashboard Overview
4:10 Documents Management
12:28 Document Analysis / Processing
15:40 Document Vectorization
21:40 AI Chat
27:02 Image Generation
28:13 Activity Logs
28:48 Billing Page
29:26 Settings Page
30:53 Conclusion

🔥 What You'll Learn:
✅ Set up an open-source AI document chat system
✅ Upload and organize PDF, DOCX, TXT files
✅ Ask questions about your documents in natural language
✅ Get AI-powered answers with source citations
✅ Deploy your own private document management platform

💡 Perfect For:
Students managing research papers and study materials
Professionals organizing business documents
Teams building internal knowledge bases
Developers creating custom AI document solutions
Anyone wanting to chat with PDFs using AI

🛠️ Technologies Covered:
Open source document management
RAG (Retrieval Augmented Generation)
Vector databases for semantic search
Local LLM integration
Privacy-focused AI document processing

🔐 Privacy First: Keep your sensitive documents secure with self-hosted, open-source solutions. No data sent to third parties.


💡 USE CASES:
• Knowledge management & internal wikis
• Customer support documentation
• Legal document analysis
• Study assistant & education
• Research paper organization
• Client portals for professional services
• Medical literature management

🔗 USEFUL LINKS:
📦 GitHub Repository: https://github.com/watat83/document-c...
🚀 Deploy on Vercel: https://vercel.com/new/clone?reposito...

💬 Questions? Drop them in the comments!

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🔧 INSTALLATION:
1. Clone the repository
2. Install dependencies: npm install
3. Configure environment variables (.env.example)
4. Set up database: npx prisma db push
5. Run development server: npm run dev

⭐ If you use this project, please star it on GitHub!

📄 LICENSE: MIT - Free for commercial and personal use

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