Browse categories
Explore
Fiverr Pro
English
$
USD
I will fix hallucinations in your rag chatbot
Hamza Chohan
About this gig
Your RAG chatbot makes things up? Gives wrong answers from your own documents? I'll find out exactly why and fix it.
Most RAG chatbots fail for the same fixable reasons: bad document chunking, weak retrieval, sloppy prompts, or no evaluation. I audit all four and I fix the engineering underneath, not just the prompts.
What you get:
- Deep audit of your retrieval pipeline, chunking strategy, prompts, and vector database setup
- Test set of your real questions, scored for accuracy before and after you see the numbers
- Specific fixes implemented (Standard and Premium)
- Written report you can hand to any developer
Why me: backend engineer with 4.5+ years in production systems. I rebuild pipelines; I don't just reword prompts.
Message me before ordering describe what's going wrong and I'll tell you honestly if it's fixable.
Get to know Hamza Chohan
Hamza Chohan
AI Agent Developer for RAG Chatbots and Business Automation
- FromPakistan
- Member sinceSep 2026
- Avg. response time1 hour
Languages
Urdu, English
Backend engineer (4.5+ yrs) building production-grade AI agents, not demos. I build RAG chatbots trained on your documents, multi-agent systems (LangGraph, CrewAI), n8n business automation, and voice AI agents (Vapi + Twilio) - all wired into your real systems: CRM, databases, booking. Stack: Python, LangChain, OpenAI, FastAPI, .NET, SQL, Twilio. 4.5+ yrs in healthcare software - I understand data privacy and production systems. Every order: clean source code, setup docs, walkthrough video. Message me before ordering.
FAQ
What causes hallucinations in a RAG chatbot?
Usually bad document chunking, retrieving the wrong documents, or prompts that let the model guess instead of saying "I don't know." My audit pinpoints exactly which one is failing in your setup.
What do you need from me to start?
Access to your code or a description of your stack (framework, vector database, LLM), plus 5–10 example questions where the chatbot gave wrong answers.
Can you fix a chatbot built by someone else?
Yes — that's the whole point of this gig. I work with any stack: LangChain, LlamaIndex, or fully custom pipelines.
How do you prove the chatbot is fixed?
I build a test set from your real questions and score accuracy before and after. You see the numbers, not just promises.
My chatbot isn't RAG — can you still help?
Message me first and describe your setup. If it's fixable, I'll tell you which package fits. If I can't help, I'll say so honestly.
