I will build a smart ai chatbot that finds accurate answers from your PDF documents

S
saurabhratha899
S
saurabhratha899
Saurabh Rathaur
build a smart ai chatbot that finds accurate answers from your PDF documents
Full Screen
build a smart ai chatbot that finds accurate answers from your PDF documents

About this gig

Do you have a PDF full of information but no way to instantly find answers? I'll build you a custom AI chatbot that lets you upload any PDF and ask questions in plain English and get accurate answers instantly.


I build RAG (Retrieval-Augmented Generation) chatbots from scratch using Python. My system combines BM25 keyword search + ChromaDB vector search for hybrid retrieval, giving better accuracy than basic chatbots.


What you'll get:

- PDF upload and processing pipeline

- Hybrid BM25 + vector search retrieval

- AI-powered answers using Claude or OpenAI

- Clean web interface (Flask)

- Full source code delivered via GitHub


This is not a no-code tool or template. I write real Python code tailored to your use case.


Perfect for:

- Businesses with large documents or manuals

- Legal or medical document Q&A

- Student study assistants

- Internal knowledge bases


GitHub proof of my work: github.com/SaurabhRathaur/chat-with-pdf


Message me before ordering to discuss your requirements.

  • Bot type

    • Customer Service & Support
    • Learning & Development

  • AI engine

    • Other

  • Programming language

    • Python

  • Tools & frameworks

    • Other

  • Platforms

    • Discord
    • Websites
    • Slack

Get to know Saurabh Rathaur

Saurabh Rathaur

AI Developer

  • FromIndia
  • Member sinceApr 2026

  • Languages

    English
I build AI-powered chatbots and RAG systems that actually work — not just demos. My flagship project, "Chat with PDF," lets users upload any PDF and ask questions in plain English. Under the hood it runs hybrid BM25 + ChromaDB retrieval with CrossEncoder re-ranking for accuracy, all served through a Flask backend powered by Claude API. I built every layer from scratch — chunking, embeddings, retrieval, and response generation. If you need a document chatbot or LLM integration that delivers real results, let's talk.

Related tags