Multimodal RAG: A Beginner-friendly Guide (with Python Code)

From the creator

🀝 Your team not maximizing Claude? I run 1:1 and team AI workshops for companies doing $10M+ per year: https://aibuilder.academy/yt/Y7pNmocrmi8 Multimodal RAG improves an AI model's responses by providing relevant information stored in text and non-text formats. Here, I discuss 3 ways to build an MRAG system and share an example implementation with Python. Resources: πŸ“° Blog: https://medium.com/towards-data-science/multimodal-rag-process-any-file-type-with-ai-e6921342c903?sk=dabb0a46b1c53c3072f8f61772afa554 πŸ’» GitHub Repo: https://github.com/ShawhinT/YouTube-Blog/tree/main/multimodal-ai References: [1] RAG: https://youtu.be/Ylz779Op9Pw [2] Multimodal LLMs: https://youtu.be/Ot2c5MKN_-w [3] Multimodal Embeddings: https://youtu.be/YOvxh_ma5qE Introduction - 0:00 What is RAG? - 1:12 Multimodal RAG (MRAG) - 4:01 3 Levels of MRAG - 5:26 Example code: Multimodal Blog QA Assistant - 10:52 Demo (Gradio) - 24:44 Limitations - 25:28

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional Β£25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

β—† Fri 13 Nov 2026 β—† KOKO, London
Makers residency 4th edition
Live event
Makers residency 4th edition
Fri 13 Nov 2026
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