Project I : RAG Application for Arabic Legal Documents
This project showcases a Retrieval-Augmented Generation (RAG) application specifically designed for querying Arabic legal documents. Utilizing advanced techniques, it enables efficient information retrieval and contextual understanding.
Key features include:
- Arabic Language Support: Handles queries and provides responses in Arabic, ensuring relevance to users in legal contexts.
- Efficient Document Retrieval: Implements sophisticated algorithms for quick and accurate access to legal texts.
- Custom Prompting: Utilizes tailored prompts to enhance interaction with users, making the tool more intuitive for legal inquiries.
The application processes key legal documents, including:
- قانون العمل الجزائري رقم 90-11 لسنة 1990
- قانون رقم 23-12 يحدد القواعد العامة المتعلقة بالصفقات العمومية
This innovative project reflects my expertise in machine learning and natural language processing, demonstrating a commitment to improving access to legal information for Arabic speakers.
