Browse categories
Explore
Fiverr Pro
English
$
USD
I will build a rag ai chatbot trained on your pdfs, website and docs
Gaurav Bhoi
About this gig
Tired of answering the same customer questions every day? I build RAG chatbots that search your own documents before answering, cite their sources and say so when they dont know.
What you get:
A chatbot trained on your PDFs, website, Notion, Drive or database
Every answer linked to the page it came from
Guardrails, so it never guesses outside your data
Hand-off to your team with the chat history
An admin page to upload new files any time
Website widget, WhatsApp, Telegram or Slack
How it works: I review your data and estimate running costs, index it into a vector database, build and tune the bot with real questions, then launch it with an admin guide.
Always included: full source code, setup docs, a video walkthrough, secure defaults (no hardcoded keys, validated inputs) and 14 days of free bug fixes.
Stack: Python, FastAPI, LangChain, LlamaIndex, OpenAI, Claude, Gemini, Llama, Mistral, Pinecone, Qdrant, pgvector, Chroma, React, Next.js.
Not sure which package fits? Message me with your documents and use case before ordering.
Get to know Gaurav Bhoi
Gaurav Bhoi
AIML Engineer
- FromIndia
- Member sinceMay 2025
- Avg. response time1 hour
Languages
Marathi, English, Hindi
Are you looking for a skilled AI/ML Engineer? I specialize in Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI. I build custom ML models, chatbots, recommendation systems, LLM apps, and end-to-end AI solutions that drive real business value. My tech stack includes Python, TensorFlow, PyTorch, Scikit-learn, OpenAI API, LangChain, Hugging Face, and cloud platforms like AWS and GCP. I deliver clean, well-documented, production-ready code with on-time delivery and clear communication. From data preprocessing to model deployment
My Portfolio
Other AI Development Services I Offer
FAQ
What is RAG?
Retrieval-augmented generation. The bot searches your documents first, so its answers come from your data.
Will it make things up?
No. Guardrails and citations keep it grounded, and if the answer isn’t in your data, it says so.
What does it cost to run?
Usually a few dollars a month in API costs for a small business. I estimate this before building.
Can it handle personal data?
Yes, with consent and data minimisation built in. PII masking and retention settings are available.
Which vector database do you use?
Pinecone, Qdrant, Supabase pgvector or Chroma, chosen for your budget and scale.
Can I update the data myself?
Yes. The RAG Chatbot and Full LLM App packages include an admin upload page.
