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Multimodal-RAG: Generative AI for Integrated Document, Image, and Video Understanding

Multimodal-RAG: Generative AI for Integrated Document, Image, and Video Understanding Multimodal-RAG: Advanced Multimodal Reasoning and Retrieval System is an innovative artificial intelligence application that empowers users to interact with and analyze a variety of data formats—including documents, images, and videos—through intelligent question-answering and contextual understanding. Designed and developed by Dr. Volkan OBAN, this system leverages the power of generative AI to provide insightful, accurate, and context-aware responses across multiple modalities. Its use cases span a wide range of fields such as education, healthcare, legal analysis, security, journalism, and business intelligence, making it a versatile tool for professionals and researchers alike. The application stands out for its user-friendly interface, integrated semantic search, and archival capabilities, enabling seamless access to past interactions and analyses. Dr. OBAN, an expert in artificial intelligence, data science, and generative AI technologies, is open to collaborative opportunities, professional partnerships, and research positions in the field. The multimodal structure of the system brings significant innovation value by combining visual, textual, and audiovisual information into a unified reasoning framework—enhancing decision-making, boosting productivity, and enabling deeper insights in real time. #ArtificialIntelligence #VolkanOBAN #GenerativeAI #RAG #MultimodalRAG #MultimodalAI #AgentCollaboration #CollaborativeAI #AIInnovation #AIDrivenSolutions #DecisionIntelligence #StrategicAI #genai #documentintelligence #genai #videointelligence #ocr