I will build a private ai chatbot to query your PDF documents


About this gig
Tired of copying sensitive PDFs into ChatGPT? Worried about your company's confidential documents being processed on external cloud servers?
I will build a private, high-performance RAG (Retrieval-Augmented Generation) AI document chatbot hosted 100% locally on your Linux server.
Your contracts, policy manuals, research papers, and internal reports stay completely confidential. No data ever leaves your server, no cloud API keys are required, and there are zero recurring monthly token fees.
WHAT THIS SYSTEM DOES:
Ingests PDFs, Word docs, TXT files, and spreadsheets into a private local vector database.
Uses state-of-the-art open-source LLMs (Qwen 2.5, Llama 3.3, DeepSeek) to analyze your files.
Delivers instant, accurate answers with exact page and document source citations.
Runs 24/7 as an automated background service with a sleek browser chat interface.
Get to know Daniel
Python Automation and AI Systems Engineer
- FromGermany
- Member sinceAug 2026
- Avg. response time1 hour
Languages
German, English, Polish
Other AI Development Services I Offer
FAQ
Do I need a powerful GPU server for this?
While a GPU (like an Nvidia RTX or Tesla) will make the AI generate text much faster, it is not strictly required. Modern quantized models can run on CPU-only servers, though the response time will be slower. I recommend at least 8GB of RAM for standard PDF querying.
Are you absolutely sure my documents stay private?
Yes! This is the main benefit of this service. Unlike ChatGPT or Claude, this system runs 100% locally on your Linux server. No API calls are made to external cloud providers, meaning your sensitive data never leaves your infrastructure.
Can I share the chat interface with my employees or team?
Yes! With the Standard and Premium packages, the Open-WebUI interface can be accessed via a web browser. In the Premium package, I will set up a secure HTTPS domain and you can create individual login accounts for your team members.
What types of documents can the AI read?
The system natively supports PDF files, Microsoft Word documents (.docx), plain text files (.txt), Markdown (.md), and CSV files.
Which AI models do you use?
I deploy the latest open-source models optimized for your server's hardware. Usually, this includes Meta's Llama 3 (great general knowledge) or Alibaba's Qwen 2.5 (excellent for coding, reasoning, and document analysis).
