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YouTube

Multimodal RAG with LangChain, VertexAI, Gemini Pro and Chroma

The Machine Learning Engineer via YouTube

Overview

Learn to build a Multimodal RAG (Retrieval-Augmented Generation) agent in this 47-minute video tutorial that demonstrates handling both PDF documents and images using LangChain framework, Google's VertexAI SDK, and Chroma vector store. Follow along with practical implementation steps to create an agent capable of processing and understanding multiple data formats. Access the complete implementation through the provided GitHub repository, which includes detailed code examples and configurations for integrating these powerful tools. Master the techniques of combining different unstructured data types to create a more versatile and capable RAG system for advanced machine learning applications.

Syllabus

RAG: Multi-modal RAG with Langchain, VertexAi, Gemini Pro and Chroma #machinelearning #datascience

Taught by

The Machine Learning Engineer

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