I will build a custom ai chatbot using rag PDF, website, database


About this gig
Do you want a ChatGPT-style AI chatbot trained on your own data, not generic internet knowledge?
I will build a custom AI chatbot using Retrieval-Augmented Generation (RAG) that can chat with your PDFs, website content, or database and provide accurate, source-based answers with reduced hallucinations.
This solution is perfect for businesses, startups, and teams that need an AI assistant trained on their documents, knowledge base, or internal data.
What this AI chatbot can do:
- Chat with PDF, Word, Excel, CSV files
- Answer questions from websites & knowledge bases
- Use RAG architecture for high accuracy
- Minimize hallucinations with document retrieval
- Provide source-grounded responses
- Work as a web app or API
Technology:
- OpenAI / Azure OpenAI / HuggingFace
- LangChain or LlamaIndex
- Vector DB (FAISS / Chroma / Pinecone)
- Python + FastAPI
- Optional UI (Streamlit / Web UI)
Message me before ordering to confirm your data source and scope.
Get to know Sayem
Machine Learning, Deep learning, Gen AI and Agentic AI
- FromBangladesh
- Member sinceDec 2024
- Last delivery1 year
Languages
Bengali, English, Italian, Hindi
My Portfolio
FAQ
Can the chatbot be trained on my PDF or website?
Yes. I can build an AI chatbot that chats with PDFs, Word/Excel files, CSVs, or website content and answers questions directly from your data.
Will this chatbot hallucinate answers?
Hallucination is minimized using RAG architecture, where answers are grounded in your documents. The chatbot responds only based on retrieved content, not random internet data.

