I will build a custom ai chatbot trained on your documents and data

J
jules_0409
J
jules_0409
Jules
build a custom ai chatbot trained on your documents and data
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build a custom ai chatbot trained on your documents and data
Full Screen
Full Screen
build a custom ai chatbot trained on your documents and databuild a custom ai chatbot trained on your documents and databuild a custom ai chatbot trained on your documents and data

About this gig

Turn your documents into something your team can just ask questions to.


WHAT YOU GET: a chatbot that answers from your own content: manuals, contracts, wikis, SOPs, PDFs. Every answer cites its source, so nobody has to trust a black box. It says "I don't know" instead of making things up. Delivered as a web interface, or an API you can drop into your own product.


FORMATS: PDF, Word, Excel, Markdown, HTML, Notion export, scanned files.


WHY THIS ONE MATTERS: most RAG demos fall apart on real documents. Bad chunking, no citations, confident hallucinations. Cleaning the documents is usually half the work, and it decides whether the answers are usable at all. I have deployed document-QA on-premise for a company knowledge base, so I know where these break.


PRIVACY: for sensitive data I can deploy fully self-hosted with open models, so nothing ever leaves your servers. (Premium package)


Send me a sample document and I will tell you exactly what is feasible. If it is not a good fit, I will say so upfront.

  • Bot type

    • Customer Service & Support
    • Learning & Development

  • AI engine

    • Gemini
    • Open AI GPT
    • LangChain
    • LLaMA
    • Claude.ai
    • Ollama

  • Programming language

    • JavaScript
    • Python
    • TypeScript

  • Tools & frameworks

    • n8n
    • Pinecone
    • Hugging Face
    • LangChain

  • Platforms

    • Websites
    • Mobile Apps
    • Slack
    • Microsoft Teams
    • WeChat

Get to know Jules

Jules

AI Automation and RAG Engineer

  • FromChina
  • Member sinceAug 2026
  • Avg. response time1 hour

  • Languages

    Chinese, English
I build AI systems that actually ship - not demos. Delivered: a multi-agent orchestration platform, an AI content pipeline for e-commerce, a TikTok automation toolchain running in production, and on-premise RAG document-QA for a company knowledge base. Open-source contributor - I fixed fp8 on Apple Silicon in ComfyUI. How I work: most small jobs ship in 24-48h. Deterministic logic where accuracy matters, LLMs only where they add value. Every dependency has a fallback. Tell me what you need automated. If I can't do it well, I'll say so upfront.

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