I will build a rag chatbot over your company documents with source citations

R
riccardosapuppo
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riccardosapuppo
Riccardo S.

About this gig

A chatbot that answers from your manuals, policies and procedures, and shows the passage it answered from so your team can check it.


Plain vector search fails on a large share of real questions: product codes, exact settings, follow-ups like "and for the bigger model?". It fails confidently, with a citation. I build assistants that look at the question first (what kind it is, what must match letter for letter, which document it is about) and I measure retrieval on your own questions before you accept the delivery.


WHAT YOU GET

  • Ingestion of your PDF, Word and Excel files
  • Chat with citations to the exact passage
  • Hybrid search (meaning + exact keywords) on PostgreSQL with pgvector
  • OpenAI, Anthropic, Mistral or fully local models
  • An evaluation on your questions, with the results
  • Full source code, Docker, README and a handover video


WHY ME

Full-stack engineer since 2017. I have built document assistants in production, and my portfolio measures exactly where plain vector search goes wrong.


Please message me before ordering so we can confirm scope and timing.

Get to know Riccardo S.

Riccardo S.

AI Integration Engineer for LLM Data Extraction, RAG and OCR

  • FromItaly
  • Member sinceSep 2026
  • Languages

    Italian, English
I connect AI to the systems a business already runs: mailboxes, PDFs, ERPs, SQL Server and PostgreSQL databases. Full-stack engineer since 2017 (Node.js, Python, Angular, React, .NET). I build LLM extraction pipelines where every value points back to the words it was read from, document assistants measured on your own questions, secure OCR APIs and internal dashboards. Fixed scope in writing before any code; tests, Docker and a handover video with every delivery. CET time zone. Please message me before ordering so we can confirm scope and timing.

My Portfolio