I will build your custom RAG System for document Q&A using Python

I build custom RAG (Retrieval-Augmented Generation) systems that turn your documents into an intelligent, searchable knowledge base.

What I offer:

📄 Document Processing:
- Ingest PDFs, Word documents, TXT files, and web URLs
- Intelligent text extraction and chunking
- Preserve document structure and metadata

🧠 Smart Q&A System:
- Ask questions in natural language
- Get accurate answers with source citations and page numbers
- Fast vector search across thousands of pages

🔒 Data Privacy:
- Full local deployment option (Ollama, no data leaves your server)
- Cloud integration available (OpenAI, Groq, NVIDIA) if preferred

🛠️ What you get:
✅ Full Python source code
✅ Vector database (ChromaDB) ready to use
✅ Step-by-step deployment guide (English or Arabic)
✅ 3 days of post-delivery support
✅ REST API option for integration with your apps

💡 Perfect for:
- Legal firms with contracts and case files
- Medical practices with patient records and research
- Corporate documentation and internal knowledge bases
- Researchers with large collections of papers

Technologies: Python, LangChain, ChromaDB, FastAPI, OpenAI API, Ollama, Docker.

Pricing is project-based. Please contact me with your requirements for an accurate quote.

🌍 I am fluent in English and Arabic. I can provide full Arabic documentation and support if needed.