I will build a rag ai chatbot for your documents

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Nadircan Alkis

About this gig

Are you looking for an AI assistant that actually knows YOUR business?


I build production-grade RAG (Retrieval-Augmented Generation) systems that let your users ask questions and get accurate answers from your documents, manuals, contracts, or website content.


What makes my RAG systems different:

- Hybrid retrieval (BM25 + dense vectors) for higher accuracy

- No hallucinations answers are grounded in your actual documents

- Multilingual support (English, Turkish, German, French)

- Clean REST API (FastAPI) + optional Streamlit demo UI

- Dockerized and ready to deploy


My portfolio:

- Veracier RAG Multilingual enterprise document Q&A (French/German/English, Qdrant, 94%+ faithfulness)

- Real Estate AI Assistant Property listing Q&A chatbot with document ingestion


Tech stack:

Python · FastAPI · Qdrant · LangChain · Claude/OpenAI API · Docker · PostgreSQL


Message me before ordering to discuss your use case I want to make sure I deliver exactly what you need.

Get to know Nadircan Alkis

Nadircan Alkis

Software Developer

  • FromTurkey
  • Member sinceApr 2024
  • Languages

    English, Turkish
Hi! I'm Nadircan — an AI Backend Engineer specializing in RAG systems and LLM integrations. Day job: Software engineer at an AI/IoT company, leading a TÜBİTAK R&D project, finishing my M.Sc. thesis on vector database benchmarking. I build production-ready systems: → RAG chatbots for documents, contracts, catalogs → Hybrid search with Qdrant, FAISS, or Weaviate → FastAPI backends with Docker and full docs → Claude / GPT-4o / open-source LLM integrations Every delivery includes source code and real test results. Message me before ordering — I'll tell you if it's feasible.

My Portfolio