I will build an ai chatbot, rag agent, and ai assistant for your data


About this gig
Want a chatbot that actually answers from YOUR documents, not generic web knowledge? I build production-ready AI chatbots with Retrieval-Augmented Generation (RAG) that ground every answer in your own files, with citations.
WHAT I BUILD
A chatbot connected to your PDFs, docs, or database. It retrieves the right context before answering, cites its sources, and says "I don't know" instead of making things up. Works with OpenAI, Claude, or local models.
WHY IT WORKS
Most chatbots hallucinate because they guess. Mine retrieves real chunks of your data first, then answers only from that. I add fallback handling, logging, and clear error messages so it fails gracefully, not silently.
MY BACKGROUND
I'm a backend engineer who builds automation and AI systems for a living. I've shipped RAG pipelines, vector search, and LLM integrations across OpenAI, Claude, and open-source models.
Send me a message with what documents you have and where you want the bot deployed (Slack, website, WhatsApp), and I'll tell you exactly what's possible.
Get to know Zeb Malik
AI and Backend Developer
- FromPakistan
- Member sinceJun 2026
- Avg. response time1 hour
Languages
Urdu, English
FAQ
What document formats can the chatbot use?
PDF, Word, plain text, CSV, and website content. Send me your files or URLs and I'll handle the ingestion and chunking.
Where can the chatbot be deployed?
Website widget, Slack, WhatsApp, or a REST API you can call from your own app. Tell me your stack and I'll match it.
Is my data kept private?
Yes. Your documents and embeddings stay in your own environment or a private vector store. Nothing is shared or reused for other projects.

