About the session
We've seen an influx of powerful multimodal capabilities in many LLMs. In this tutorial, we'll vectorize a dataset of text and images into the same embedding space, store them in Milvus, retrieve all relevant data given an LLM query, and input multimodal data as context into GPT-4o.

Topics Covered
- Multimodal embedding models
- Milvus multi-vector hybrid search
- Multimodal generative models
- Demo of multimodal using Milvus and Zilliz

▼ ▽ LINKS & RESOURCES
Notebook: https://colab.research.google.com/git...
Tutorial: https://milvus.io/docs/multimodal_rag...
Live Demo: https://multimodal-demo.milvus.io/

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