Mohamed Khaled Ghareeb

Al-Maktabah Al-Shamilah RAG System

AI/ML Engineer2025

Arabic-first RAG · 210k+ Documents · Semantic Search · gpt-oss:120B

Al-Maktabah Al-Shamilah RAG System
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Gallery

Semantic Search & AI Chat Interface

Semantic Search & AI Chat Interface

Semantic Search & AI Chat Interface

Hadith Retrieval using Semantic Search

Hadith Retrieval using Semantic Search

Hadith Retrieval using Semantic Search

AI-Powered Contextual Response Generation

AI-Powered Contextual Response Generation

AI-Powered Contextual Response Generation

Semantic Search Results with High Relevance

Semantic Search Results with High Relevance

Semantic Search Results with High Relevance

Bilingual UI with Full Arabic Language Support

Bilingual UI with Full Arabic Language Support

Bilingual UI with Full Arabic Language Support

Comprehensive Document Database Overview

Comprehensive Document Database Overview

Comprehensive Document Database Overview

A professional Arabic-first search system combining ChromaDB (178k documents) and Hadith_db (34k hadiths) with semantic embeddings (multilingual-e5-small) and AI-powered responses (gpt-oss:120B).

Key Achievements

  • Combined ChromaDB (178k documents) and Hadith_db (34k hadiths) for hybrid search capabilities.
  • Implemented semantic embeddings using multilingual-e5-small for highly accurate Arabic retrieval.
  • Integrated gpt-oss:120B for generating intelligent, context-aware AI responses.
  • Built with React and FastAPI to ensure a robust, scalable backend and frontend with full Arabic support.

Tech Stack

ReactFastAPIChromaDBHadith_dbNLPRAGSemantic SearchArabic AI