Short Course

Building Multimodal Search and RAG

In Collaboration With




1 Hour


Sebastian Witalec

  • Learn how multimodality works by implementing contrastive learning, and see how it can be used to build 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.

What you’ll learn in this course

Learn how to build multimodal search and RAG systems. RAG systems enhance an LLM by incorporating proprietary data into the prompt context. Typically, RAG applications use text documents, but, what if the desired context includes multimedia like images, audio, and video? This course covers the technical aspects of implementing RAG with multimodal data to accomplish this.

  • Learn how multimodal models are trained through contrastive learning and implement it on a real dataset.
  • Build any-to-any multimodal search to retrieve relevant context across different data types.
  • Learn how LLMs are trained to understand multimodal data through visual instruction tuning and use them on multiple image reasoning examples
  • Implement an end-to-end multimodal RAG system that analyzes retrieved multimodal context to generate insightful answers
  • Explore industry applications like visually analyzing invoices and flowcharts to output structured data.
  • Create a multi-vector recommender system that suggests relevant items by comparing their similarities across multiple modalities.

As AI systems increasingly need to process and reason over multiple data modalities, learning how to build such systems is an important skill for AI developers.

This course equips you with the key skills to embed, retrieve, and generate across different modalities. By gaining a strong foundation in multimodal AI, you’ll be prepared to build smarter search, RAG, and recommender systems.

Who should join?

This course is for anyone who wants to start building their own multimodal applications. Basic Python knowledge, as well as familiarity with RAG is recommended to get the most out of this course.


Sebastian Witalec

Sebastian Witalec

Head of Developer Relations at Weaviate

Course access is free for a limited time during the DeepLearning.AI learning platform beta!

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