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Thanks to Chargebee for making this video possible, check them out: https://chargebee.plug.dev/Pxa9PGv Google's Gemini Embedding 2 is the first unified multimodal embedding model that can process text, images, video, audio, and documents into the same vector space — eliminating the need for intermediate transformations that lose semantic context. The video walks through practical examples of cross-modal search, then builds out a full agentic file search application combining multimodal retrieval with clustering, classification, and cross-reference resolution. LINK TO NOTEBOOK: https://colab.research.google.com/drive/1ocRHMzqHlUh813bxwNf8tdZIeVNVpCqU?usp=sharing My Dictation App: www.whryte.com Website: https://engineerprompt.ai/ RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: engineerprompt@gmail.com Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0