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Fiverr Pro
English
$
USD
I will build a rag chatbot with your documents and citations
Mohammad
About this gig
Build a production-ready RAG system that answers questions from your documents using semantic search and citation-backed responses.
WHO THIS IS FOR
Businesses that need a document Q&A system built on their own knowledge basenot a generic chatbot.
WHAT YOU GET
I build Retrieval-Augmented Generation (RAG) systems with document ingestion, chunking, embeddings, vector search, and citation-backed answers.
Depending on your package, you can receive:
Document ingestion (PDF, TXT, DOCX)
Semantic search & vector database
Citation-backed answers
Retrieval quality evaluation
FastAPI REST API (Standard/Premium)
Docker packaging (Standard/Premium)
Source code, README, and documentation
HOW I WORK
1. Review your documents and requirements
2. Define scope and success criteria
3. Build, evaluate, and deliver the solution
4. Revisions according to your package
IMPORTANT
Answer quality depends on document quality and coverage. Please contact me before ordering so I can recommend the best package for your project.
Get to know Mohammad
Mohammad
AI and Machine Learning Engineer
- FromTurkey
- Member sinceJun 2026
- Avg. response time1 hour
Languages
English, Persian, Turkish
AI / Machine Learning Engineer based in Turkey. I build production-oriented machine learning and applied AI systems with clear evaluation, documentation, and maintainable code.
Services:
• ML pipelines and FastAPI inference APIs
• Document intelligence and RAG systems
• Computer vision solutions
• Forecasting and analytics workflows
• Python automation and data processing
Every delivery includes scoped requirements, clean source code, a README, setup instructions, and clearly documented limitations.
Please message me before ordering to confirm the scope, data, and timeline.
My Portfolio
FAQ
1. Do you need my documents?
Yes. Please provide sample PDFs, Word documents, text files, or other documents along with a few example questions. This helps me build and evaluate your RAG system accurately.
2. Is this just a ChatGPT wrapper?
No. This Gig delivers a real Retrieval-Augmented Generation (RAG) system with document ingestion, semantic search, vector retrieval, and citation-backed answers.
3. Will the answers always be perfect?
No. Response quality depends on the quality and coverage of your documents. I provide honest evaluation and citation-based retrieval results.
4. Will I receive a REST API?
Yes. Standard and Premium packages include a FastAPI-based REST API with documentation.
5. Can you work with private or confidential documents?
Yes. Please let me know your privacy and security requirements before ordering so we can define the appropriate workflow.
