I will build a rag chatbot that answers from your documents

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amr_belal
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amr_belal
Amr Belal
Sommige informatie wordt in het Engels weergegeven.

Over deze dienst

Turn your PDFs, documents, policies, manuals, or knowledge base into a useful AI assistant.


I will build a custom RAG chatbot that retrieves relevant information from your content and answers with grounded, source-aware responses.


What you can receive:

- Document ingestion and chunking

- Vector search and retrieval

- Clean chat interface

- Source citations where appropriate

- Support for PDF, DOCX, text, or web content

- Model and API integration

- Testing, setup instructions, and organized source code


I work with Python, retrieval workflows, FastAPI or Flask, Streamlit, vector databases, and suitable commercial or open-source LLMs.


The Basic package is an affordable prototype for one focused use case. Standard adds multiple files, branding, citations, and integration. Premium is designed for a more production-ready RAG workflow with stronger retrieval, testing, deployment support, and documentation.


Please message me before ordering if your data is large, private, multilingual, or requires complex integrations.

Maak kennis met Amr Belal

Amr Belal

Applied AI and Generative AI Engineer

  • Afkomstig uitEgypte
  • Lid sindsfeb 2025
  • Gem. reactietijd1 uur
  • Talen

    Arabisch, Engels
Applied AI and Generative AI Engineer building reliable, user-facing products across LLM applications, agentic and multi-agent workflows, NLP, computer vision, and machine learning. I work with Python, FastAPI, LangGraph, Streamlit, TensorFlow, scikit-learn, and Docker. Recent projects include a source-aware multi-agent research assistant, a bilingual sentiment-analysis and AI-marketing platform, a fire-classification system that reached 97.96% accuracy, and an AI-powered smart-home robot. I deliver organized code, documented results, clear communication, and practical solutions.

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