I will build you a private local llm or rag system that keeps your data safe


About this gig
Using ChatGPT or Claude for internal work means your data is going to a third-party server. For businesses handling client records, contracts, medical data, financials, or any other confidential information, that's often a dealbreaker.
I build private AI setups that keep your data on your own infrastructure never sent to OpenAI, Anthropic, or any external provider.
What I'll do:
- Set up and host a private or local LLM sized to your actual workload (not an oversized model that's slow and expensive to run)
- Train or fine-tune a small LLM on your specific task if a general model isn't accurate enough
- Build a RAG (retrieval-augmented generation) system so the AI answers using your own documents and data, with accurate, traceable responses instead of guesses
- Document how it's set up so your team isn't dependent on me to keep it running
What I need from you:
- What the AI needs to do (answer questions from documents, automate a task, etc.)
- Where your data currently lives (files, database, internal wiki, etc.)
- Any hosting preference (your own server, cloud, fully offline) or budget constraints on compute
Get to know Dev Eddy
There is always a solution to a problem
- FromKenya
- Member sinceJul 2026
- Avg. response time1 hour
Languages
English, French
FAQ
Will this be as good as ChatGPT?
For general knowledge, a private small model won't match GPT-scale models. For answering questions about your own data specifically, a well-built RAG system is often more accurate, because it's pulling real answers from your documents instead of relying on the model's memory
What hardware do I need?
Depends on the model size and how many people will use it. I'll recommend the smallest setup that meets your accuracy and speed needs, and tell you upfront if your budget doesn't match what you're asking for

