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I will build a rag chatbot that answers from your documents
Amr Belal
Acerca de este Servicio
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.
Conoce a Amr Belal
Amr Belal
Applied AI and Generative AI Engineer
- DeEgipto
- Miembro desdefeb 2025
- Responde aprox. en:1 hora
Idiomas
Árabe, Inglés
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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FAQ
What document formats can you use?
I can work with common formats such as PDF, DOCX, TXT, CSV, Markdown, and suitable web content. Please message me if your data uses another format or requires OCR.
Will the chatbot show sources for its answers?
Yes. Source citations or references can be included when the selected package, data format, and retrieval design support them.
Are model API, database, and hosting costs included?
No. Third-party model, vector database, and hosting charges are separate. I will explain the expected costs and help you choose a practical setup before implementation.
