In the rapidly advancing landscape of artificial intelligence, Retrieval-Augmented Generation (RAG) GenAI is pushing the boundaries of generative models by incorporating real-time data retrieval.
The fusion of RAG techniques with Generative AI (GenAI) creates a dynamic, context-rich system that enhances content generation across various industries.
One of the most transformative advancements is the integration of multimodal data into RAG GenAI systems, combining text, images, audio, and video to revolutionize the way AI creates and retrieves information. [Read more…] about Multimodal Data in RAG GenAI Systems: From Text to Image and Beyond