Implementing Retrieval-Augmented Generation (RAG), we develop advanced copilots for documents (especially Arabic) that seamlessly integrate real-time information retrieval with generative AI, providing users with accurate and contextually relevant assistance, either on the cloud or on prim with open source LLMs.

/ 1. The Challenge /

Accurate Extraction of Data from multiple (Arabic) documents

/ 2. The Solution /

Leverage advanced AI techniques optimized for Arabic to extract information from documents such as IDs, Iqamas, and invoices, converting them into electronic formats. Utilizing Retrieval-Augmented Generation (RAG), our system provides answers from multiple sources in various languages. Our current model boasts an accuracy of over 88%, with the potential for further improvements through continuous training on customer documentation and project advancements.

/ 3. The Result /

Enhance Arabic document processing, increase the ratio of electronic documents, drive digital transformation, automate processes, reduce the time required by employees, and thereby increase efficiency.