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

I
inferonlabs
I
inferonlabs
Inferon Labs

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

Inferon Labs

AI and LLM Deployment Engineer, RAG Chatbots, FastAPI Backends

  • FromIndia
  • Member sinceJun 2026
  • Avg. response time1 hour
  • Languages

    English
I deploy open-source LLMs to production — quantized models on GPU infra (RunPod, AWS), streaming FastAPI endpoints, and RAG chatbots grounded in your documents. What I deliver: - RAG chatbots that answer from YOUR docs — not hallucinations - LLM deployment & quantization (Llama, Qwen, Mistral) - FastAPI backends, automation, document data extraction - WhatsApp & chat integrations Every delivery includes a README and reproducible setup — no lock-in. 8+ yrs in software & data engineering. Python, FastAPI, LangChain, PostgreSQL, Docker, AWS.

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