Multimodal RAG brings together audio, text, images, and documents to enrich large language models (LLMs) with varied content types. This topic is for anyone interested in how to build RAG systems and fine-tune multimodal embeddings for tasks like document analysis and AI project development. You'll learn practical skills through examples like creating custom knowledge systems and using Python to harness multimodal capabilities across different projects.
20:16
20:40
11:13
35:35
21:21
19:29
27:56
27:43
24:38
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 £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.
Apply once › get screened › meet the company
21:19
08:31
Let us build it for you. Design and engineering from the people who shipped platforms to billions of users. AI-native, live in weeks, and yours outright at the end.
One a week, never sold on, and one click to stop.
We use a few cookies to keep the site running. Necessary ones are always on. Analytics + marketing are off until you say otherwise.
Read our cookie policy · privacy.