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I will build an ai chatbot trained on your documents using rag and open source llms


About this gig
Get an AI chatbot that answers ONLY from your documents PDFs, manuals, knowledge bases, FAQs with source citations. No hallucinations, no made-up answers.
What you get:
- RAG (Retrieval-Augmented Generation) pipeline: your docs are embedded in a vector database and retrieved per query, so every answer is grounded in your content
- Your choice of brain: OpenAI/Claude API, or a fully open-source LLM (Llama, Qwen, Mistral) with ZERO recurring API costs
- FastAPI backend with streaming responses + clean chat interface
- Deployable on your server, AWS, or GPU cloud (RunPod) you own everything
- README + reproducible setup included with every package. No lock-in, ever.
Why me: 4+ years in software & data engineering. I've deployed quantized open-source LLMs to production GPU infrastructure with streaming endpoints and RAG pipelines this is my core stack (Python, FastAPI, LangChain, FAISS/Chroma, Docker).
Not sure which package fits? Message me with your document count and where you want it hosted I'll tell you honestly what you need (and what you don't).
Get to know Inferon Labs
AI and LLM Deployment Engineer, RAG Chatbots, FastAPI Backends
- FromIndia
- Member sinceJun 2026
- Avg. response time1 hour
Languages
English
FAQ
Will my documents stay private?
Yes. With the open-source option, everything runs on your own infrastructure — documents never leave your server. With API-based models, only retrieved snippets are sent per query.
What document formats do you support?
PDF, DOCX, TXT, Markdown, HTML out of the box. Scanned PDFs need OCR — message me first.
Do I need my own server?
For Basic, no — I can demo it hosted temporarily. For Standard/Premium, you'll need a VPS or cloud account (I'll guide you on the cheapest suitable option).
Are there monthly costs after delivery?
Open-source route: only your server cost. API route: pay-per-use to the provider. I'll estimate both before we start.
