Building Multimodal Search and RAG

Instructor: Sebastian Witalec

What you'll learn

  •   Learn multimodality with contrastive learning to create modality-independent embeddings for seamless any-to-any retrieval.
  •   Build multimodal RAG systems that retrieve multimodal context and reason over it to generate more relevant answers.
  •   Implement industry applications of multimodal search and build multi-vector recommender systems.

    • Skills you'll practice

  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Prompt Engineering
  •   Large Language Modeling
  •   Unstructured Data
  •   Generative AI
  •   Image Analysis
  •   Applied Machine Learning
  •   Unsupervised Learning

    • Introducing Multimodal Llama 3.2

    Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

    Introduction to Retrieval Augmented Generation (RAG)

    Knowledge Graphs for RAG

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