I will build a rag based PDF chatbot and document QA systems

Need to chat with your documents using AI? I'll build you a 

custom RAG (Retrieval-Augmented Generation) system that lets 

you upload PDFs and get accurate, context-aware answers using 

large language models.

What you get:

- PDF processing and intelligent document chunking

- Vector search using FAISS for fast, accurate retrieval

- LLM-powered answers grounded in your document content

- Clean Streamlit UI or REST API depending on your needs

- Full Python source code included

My RAG systems use Google Gemini embeddings and Groq-hosted 

LLaMA for high accuracy with minimal hallucinations.

Why work with me:

I'm a First-Class Honours AI and Data Science graduate who 

has built production-grade RAG systems from scratch. I 

understand both the ML side and the engineering side, so 

you get clean, working code - not a tutorial copy-paste.

Perfect for:

- Businesses with large document libraries

- Legal, finance, or research professionals

- Developers needing a RAG backend for their app

Drop me a message before ordering if you have specific 

requirements - I'm happy to discuss your use case first.