Deploy Local / Self-Hosted LLM Apps (Ollama, Flowise) by Rudra Patel

Deploy Local / Self-Hosted LLM Apps (Ollama, Flowise)

Rudra Patel

Contact for pricing

About this service

Summary

I’ll help you deploy secure, private AI applications using local LLMs like Mistral, LLaMA, or Zephyr with Ollama, Flowise, or WebUI. Whether on your own machine or server, you'll get a fully working AI assistant or chatbot — without relying on cloud APIs or OpenAI.

Process

Discuss your needs (platform, model, use case: chatbot, RAG, etc.)

I recommend the best LLM + framework (Ollama, Flowise, etc.)

Set up environment on your machine or cloud (Linux/Mac/Windows)

Install LLM (e.g., Mistral 7B, Zephyr, LLaMA3)

Optional: Set up document or web content ingestion (RAG)

Deliver test prompt + walkthrough guide (video or written)

Handover with best practices and future upgrade suggestions

FAQs

Can I run this without internet or OpenAI keys?
Yes, your LLM runs completely offline and locally. No cloud APIs required.
Will this work on my Windows/Mac/Linux system?
Absolutely. I support all major OS platforms — or even remote VPS/cloud if preferred.
Can you connect the AI to my documents or website content?
Yes, I can add a basic RAG pipeline to allow the AI to reference your docs or links.
Will I need a GPU?
Some models can run on CPU, but for faster performance, a GPU (especially NVIDIA) is preferred.
Can I integrate this with my own UI or API later?
Yes. I’ll provide guidance or optionally help you connect to a custom UI, chatbot, or backend in future upgrades.

What's included

Full Setup of Local LLM Environment
I will set up a fully working local/private LLM platform using Ollama, Flowise, or WebUI, optimized for your system (Mac/Windows/Linux or server). Includes proper environment setup, model installation, and configuration.
Install & Run 1 Pre-trained Model (e.g., Mistral, LLaMA3)
I'll install and configure one powerful open-source LLM of your choice — such as Mistral, Zephyr, or LLaMA — and ensure it's ready to use inside your selected framework.
Optional RAG Pipeline Integration
If needed, I will integrate document or web content ingestion via RAG, connecting your PDF, TXT, CSV, or URLs to the LLM for contextualized responses.
Walkthrough Guide (Video or Written)
You will receive a step-by-step guide (video or text) explaining how to use, run, and manage your LLM deployment — perfect for future maintenance or team onboarding.
Bonus: Future Enhancement Suggestions
Based on your goals, I’ll provide custom recommendations to enhance your AI app — like adding auth, API endpoints, chat UI, or database integrations.

Skills and tools

Automation Engineer

AI Developer

Fullstack Engineer