I will build a custom ai chatbot with gpt, rag
About this gig
Turn your documents or business knowledge into an AI assistant that
actually answers from YOUR data not generic ChatGPT guesses.
What I build:
- GPT / Claude / open-source LLM chatbots
- RAG (retrieval-augmented generation) pipelines: your PDFs, docs, and
- databases become the knowledge base, with source citations
- Web, Telegram, or Slack interfaces
- Python backend (LangChain / LangGraph, FastAPI)
Perfect for: Customer-support bots, internal knowledge assistants,
FAQ automation, lead qualification.
Privacy: Your data stays private processed in your own environment or a
dedicated instance, never used to train external models.
Transparency: I scope the exact flow with you before starting and hand over full
documentation on delivery, so your team isn't dependent on me afterward.
Send me: your knowledge sources + the kinds of questions your users
will actually ask, and I'll confirm scope and timeline fast.
Get to know Ege Seng
Expert Python Developer and AI Automation Specialist
- FromTurkey
- Member sinceAug 2024
- Avg. response time1 hour
Languages
English, Turkish
My Portfolio
FAQ
Q: Is my data kept private?
A: Yes. Your documents are processed in an isolated environment or your own infrastructure and are never used to train third party models.
Q: Which LLMs do you use?
A: GPT-4o/GPT-5-class models, Claude, or open-source models (Llama, Mistral) if you need on-prem/offline.
Q: Can the chatbot cite its sources?
A: Yes. Standard and Premium return the document/section the answer came from, so answers are verifiable.
Q: Do you handle deployment?
A: Premium includes Docker/cloud deployment and documentation; Basic/Standard deliver code + local setup instructions.
Q: What if my data updates later?
A: The RAG pipeline is built to re-index new documents easily; I can also set up a monthly maintenance package.
