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.
Multimodal Q&A RAG Tool with Gemini for Data Science and Machine Learning
The Machine Learning Engineer via YouTube
Overview
Syllabus
Gemini: Multimodal Q&A RAG tool with Gemini #datascience #machinelearning
Taught by
The Machine Learning Engineer
Related Courses
-
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
-
Building Multimodal Search and RAG
-
RAG From Scratch - Implementing Retrieval-Augmented Generation with LangChain
-
RAG Fundamentals and Advanced Techniques - Full Course
-
Multimodal Q&A RAG Tool with Gemini - Spanish Tutorial
-
Langchain: RAG QA Tool with Gemini Pro, Langchain, and Chroma
