I will fix rag chatbot hallucinations, retrieval and wrong answers

A
am1ne_ai
A
am1ne_ai
Amine E.
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fix rag chatbot hallucinations, retrieval and wrong answers
Plein écran
fix rag chatbot hallucinations, retrieval and wrong answers
Plein écran
Plein écran
fix rag chatbot hallucinations, retrieval and wrong answersfix rag chatbot hallucinations, retrieval and wrong answersfix rag chatbot hallucinations, retrieval and wrong answers

À propos de ce service

Is your RAG chatbot hallucinating, retrieving the wrong chunks, missing exact IDs, or giving users answers you cannot trust?


I debug existing RAG systems by reproducing the failure and tracing it to the stage actually causing the problem retrieval, ranking, metadata, context construction, follow-up rewriting, grounding, citations or answer behavior.


Depending on your package, I can:

  • reproduce and diagnose your failing examples
  • inspect the available retrieval/context evidence
  • add lightweight diagnostic visibility when required
  • fix the agreed RAG failure
  • rerun the same examples after the change
  • document remaining issues and rollback steps


I do not assume every RAG problem is a prompt problem. If the available system data cannot prove the cause, I identify the missing evidence rather than guessing.


Python/FastAPI, Node.js/TypeScript, LangChain/custom RAG, Pinecone, PostgreSQL, pgvector, OpenAI and Gemini.


Send me 3-5 wrong-answer examples and your stack before ordering.

  • Moteur d'IA

    • ChatGPT
    • Claude
    • Gemini

  • Outils & frameworks

    • LangChain
    • LlamaIndex
    • OpenAI Agents SDK

  • Type de solution IA

    • Chatbot IA
    • Système rag
    • Assistant IA
    • Outil interne d’IA

  • Objectif

    • Assistance client
    • Assistance commerciale
    • Gestion des connaissances
    • Service Clients
    • Productivité des employés
    • Opérations internes

Découvrez Amine E.

Amine E.

RAG and Full Stack AI Developer

  • DeMaroc
  • Membre depuisaoût 2026

  • Langues

    Arabe, Anglais, Français
I build grounded AI assistants and RAG chatbots that turn PDFs, manuals, SOPs, policies, and internal knowledge into reliable answers with source citations. I focus on retrieval quality, document ingestion, exact identifiers, insufficient-evidence handling, and clean web chat experiences. I’ve built SourceChat, a working multi-format document RAG app, plus a technical knowledge assistant using hybrid vector + full-text retrieval. My stack includes Node.js/NestJS, React, OpenAI, Gemini, PostgreSQL/pgvector, Pinecone, and LangChain.

Mon portfolio

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