Multimodal Q&A RAG Tool with Gemini for Data Science and Machine Learning

Multimodal Q&A RAG Tool with Gemini for Data Science and Machine Learning

Explore the creation of a Retrieval-Augmented Generation (RAG) Q&A component for unstructured data, including images, audio, and video, using Gemini. Learn how to implement this powerful multimodal tool for data science and machine learning applications. Access the accompanying Jupyter notebook to follow along with the step-by-step process and gain hands-on experience in developing advanced Q&A systems that can handle diverse data types.