I will build a private local rag chatbot for your documents, no API keys needed

S
seifsherif01
S
seifsherif01
Seif Sh
build a private local rag chatbot for your documents, no API keys needed
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build a private local rag chatbot for your documents, no API keys needed
Full Screen
Full Screen
build a private local rag chatbot for your documents, no API keys neededbuild a private local rag chatbot for your documents, no API keys neededbuild a private local rag chatbot for your documents, no API keys needed

About this gig

Want to ask questions about your own documents without sending them to OpenAI or paying per API call?

I build complete RAG (Retrieval-Augmented Generation) systems that run 100% locally on open-source models. Your documents stay on your machine, and there are no ongoing API costs ever.

WHAT YOU GET

Your documents are cleaned, split into chunks, embedded into a vector database, and connected to a language model that answers questions using only your content not made-up information.

Up to 150 pages / 5 documents

Full source code, clearly commented

Setup instructions written for non-programmers

2 revisions

WORKS WITH

PDF, Word, text files, websites, and YouTube videos.

WHY LOCAL

Ideal for legal, medical, financial, or internal company documents where confidentiality matters and cloud APIs aren't an option. No keys to manage, no per-query billing, no vendor lock-in.

Message me with your document type and what you want to ask before ordering, so I can confirm it's a good fit.

  • AI engine

    • GPT
    • Langchain
    • PyTorch

  • Programming language

    • Python

Get to know Seif Sh

Seif Sh
  • FromEgypt
  • Member sinceOct 2025
  • Avg. response time1 hour

  • Languages

    English, Arabic, German
I build AI systems that work on your own data — document chatbots that answer from your files, and machine learning models that predict outcomes from your records. Both rest on the same idea: the answer is usually already in your data. My job is getting it out, and being straight about what it can't tell you. Python, LangChain, scikit-learn, XGBoost, vector databases and local models. Document systems run on your machine — no API keys, no monthly cost. You get working code, clear comments, and a report written for non-coders. I'd rather tell you a project isn't a fit than take it on.

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