I will build a custom ai rag chatbot for your documents

M
mohamed_ehab19
M
mohamed_ehab19
Mohamed Ehab

About this gig

I will build a custom AI RAG chatbot that can understand and answer questions from your documents.


Whether you need an AI assistant for company knowledge, technical documentation, manuals, policies, reports, or research files, I can build a solution tailored to your requirements.


What I can build:


  1. PDF, DOCX, TXT, PNG and JPG document processing
  2. OCR for scanned documents
  3. Semantic vector search
  4. BM25 + semantic hybrid search
  5. Cross-encoder reranking
  6. Source citations and grounded answers
  7. ChromaDB or FAISS
  8. Hugging Face and local/API LLM integration
  9. FastAPI backend
  10. Streamlit web interface


I use retrieval-augmented generation (RAG) to retrieve relevant information from your documents before generating answers, helping reduce unsupported responses and improving answer reliability.


You can use the system for:

  • Company knowledge bases
  • Customer support
  • Technical documentation
  • Internal document search
  • Research collections
  • Manuals and policies


I can build a simple prototype or a more advanced RAG application depending on your requirements.


Please contact me before ordering so I can understand your documents, expected features, and recommend the right solution.

Get to know Mohamed Ehab

Mohamed Ehab

Machine Learning Engineer

  • FromEgypt
  • Member sinceNov 2025
  • Avg. response time1 hour
  • Languages

    English, Arabic
Machine Learning Engineer specializing in LLMs, NLP, RAG, AI agents, and intelligent automation. I build practical AI systems using Python, PyTorch, Hugging Face, FastAPI, vector databases, and modern LLMs. My experience includes document intelligence, hybrid retrieval, AI customer support, tool-calling agents, semantic search, LLM optimization, and production-oriented ML pipelines. I focus on reliable, scalable solutions tailored to real business and technical requirements.

My Portfolio