<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Multimodal on The Coders Blog</title><link>https://thecodersblog.com/tag/multimodal/</link><description>Recent content in Multimodal on The Coders Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 10 May 2026 03:41:11 +0000</lastBuildDate><atom:link href="https://thecodersblog.com/tag/multimodal/index.xml" rel="self" type="application/rss+xml"/><item><title>Advanced AI: Agentic Multimodal RAG with Gemini Embedding 2</title><link>https://thecodersblog.com/building-with-gemini-embedding-2-agentic-multimodal-rag-2026/</link><pubDate>Sun, 10 May 2026 03:41:11 +0000</pubDate><guid>https://thecodersblog.com/building-with-gemini-embedding-2-agentic-multimodal-rag-2026/</guid><description>&lt;p&gt;The AI landscape is accelerating at an unprecedented pace, and with the recent General Availability of Gemini Embedding 2, we&amp;rsquo;re witnessing a pivotal shift towards truly unified, multimodal AI experiences. For years, developers have grappled with stitching together disparate models and tools to achieve even rudimentary cross-modal understanding. Gemini Embedding 2, however, fundamentally alters this paradigm by natively mapping text, images, video, audio, and documents into a single, cohesive embedding space. This isn&amp;rsquo;t just an incremental update; it&amp;rsquo;s a foundational element for building the next generation of intelligent agents capable of understanding and interacting with the world in a much richer, more human-like way.&lt;/p&gt;</description></item></channel></rss>