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Fiverr Pro
English
$
USD
I will develop a custom rag bot using langchain and your data
Aryan Khan
About this gig
Want a chatbot that actually knows your business not a generic ChatGPT wrapper?
I build custom AI chatbots using RAG (Retrieval-Augmented Generation) so your bot answers from YOUR documents, data, and knowledge base accurately, and without hallucinating.
WHAT I DO:
Custom RAG chatbots trained on your documents (PDF, Word, CSV, website, etc.)
LLM integration (OpenAI GPT, Claude, open-source models)
LangChain / LlamaIndex-based chatbot architecture
Vector database setup (Pinecone, Chroma, Weaviate)
Website chat widget or Slack/WhatsApp bot integration
Ongoing prompt tuning & accuracy improvements
WHY WORK WITH ME:
As a Data Scientist, I build production-grade RAG systems, not just quick prompt wrappers. I focus on retrieval accuracy, low hallucination, and answers grounded in your actual data the difference between a chatbot that impresses in a demo and one that works for real customers.
WHO THIS IS FOR:
Businesses that want 24/7 customer support, internal knowledge assistants, or document Q&A tools powered by their own data without hiring a full AI team.
Send me your documents or use case and I'll tell you honestly what's
achievable and what it'll take.Let's build a chatbot.
Get to know Aryan Khan
Aryan Khan
AI and ML Engineer
- FromPakistan
- Member sinceFeb 2020
- Avg. response time1 hour
Languages
Urdu, English
AI/ML Engineer specializing in Python-based automation and intelligent systems.
I build RAG chatbots, LLM-powered agents, and n8n automation workflows that connect your data, tools, and APIs into working end-to-end pipelines — not just prototypes.
Tech: Python, LangChain, OpenAI/LLM APIs, n8n, FastAPI, Vector DBs (Pinecone/Chroma), Pandas.
I deliver deployed, production-ready solutions with clean code, clear documentation, and fast communication.
Have an automation or AI idea? Message me and let's build it.
My Portfolio
FAQ
Q: What's the difference between a RAG chatbot and a regular ChatGPT bot?
A regular chatbot only knows what the base LLM was trained on. A RAG chatbot retrieves answers from YOUR actual documents/data in real time, so it stays accurate and current — no generic or made-up answers.
Q: What file formats can the chatbot be trained on?
PDFs, Word docs, CSVs, spreadsheets, website content, and plain text. Let me know your format and I'll confirm compatibility.
Q: Will the chatbot hallucinate or give wrong answers?
Reducing hallucination is the core value of proper RAG architecture — I tune retrieval accuracy and add source-grounding so answers stay tied to your actual data rather than the model guessing.
Q: Can the chatbot be embedded on my website?
Yes — Standard and Premium packages include a website chat widget you can embed directly on your site.
Q: Do I need my own OpenAI/Claude API key?
Yes, typically — API usage costs are billed separately to your account by the provider. I'll guide you through setup if you don't already have one.
