I will build a custom ai chatbot trained on your company docs

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mitchellebosele
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mitchellebosele
Mitchell E.

About this gig

Most support bots either hallucinate answers or can't tell users where information actually came from. I build retrieval-augmented (RAG) bots that answer strictly from your own documentation, and cite the source for every answer.

I built a live demo trained on Supabase's public docs, showing exactly how this works end to end: a question comes in, the bot retrieves the most relevant chunks of your docs, and generates an answer grounded only in that content, with links back to the source pages.

What you get: a chat widget trained on your product's documentation, deployed and ready to embed on your site, with cited answers so users (and you) can trust what it says.

Best fit: B2B SaaS and dev-tool companies (5-50 employees) who get repetitive support questions and want to deflect them without sacrificing accuracy.

Stack: FastAPI, vector search, Groq/LLM generation, deployed on production infrastructure with uptime monitoring.

Get to know Mitchell E.

Mitchell E.

AI Backend Engineer

  • FromNigeria
  • Member sinceSep 2020
  • Languages

    English
I'm a backend and AI engineer who builds and ships real products, not just exercises. I recently built Calendo, a live AI-powered content calendar SaaS with a conversational assistant (Groq + Llama 4) that plans, schedules, and manages social posts through natural language. I work in Python (FastAPI), Next.js/TypeScript, PostgreSQL, and LLM integration — RAG pipelines, AI agents, tool-calling, API development. I run Credible Studios, a small AI development agency. Need an AI feature, a backend API, or an LLM-powered assistant built? I can help.

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