--- title: Gemini Embedding 2 - Audio, Text, Images, Docs, Videos description: Gemini Embedding 2 is Google's first natively multimodal embedding model that handles text, images, audio, video (up to 2 minutes), and PDFs in a single... canonical: https://daily.dev/posts/gemini-embedding-2---audio-text-images-docs-videos-lapbdyhiu twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Gemini Embedding 2 - Audio, Text, Images, Docs, Videos | daily.dev og:description: Gemini Embedding 2 is Google's first natively multimodal embedding model that handles text, images, audio, video (up to 2 minutes), and PDFs in a single... og:url: https://daily.dev/posts/gemini-embedding-2---audio-text-images-docs-videos-lapbdyhiu og:image: https://api.daily.dev/og/posts/LaPbDYhIU.png og:image:alt: Gemini Embedding 2 - Audio, Text, Images, Docs, Videos og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Gemini Embedding 2 - Audio, Text, Images, Docs, Videos **[Sam Witteveen](https://daily.dev/sources/samwitteveenai)** · 20 min read · 0 upvotes · 0 comments ## Summary Gemini Embedding 2 is Google's first natively multimodal embedding model that handles text, images, audio, video (up to 2 minutes), and PDFs in a single unified vector space. Previously, building multimodal search required separate models (CLIP, Whisper, text embedders), multiple vector indexes, and complex reranking layers. This model collapses all of that into one API call producing 3,072-dimensional vectors. It supports Matryoshka representation learning for smaller embedding sizes, integrates with LangChain, LlamaIndex, ChromaDB, and Qdrant on day one, and is available via Gemini API, AI Studio, and Vertex AI. A hands-on notebook walkthrough demonstrates text-to-image, audio-to-text, and cross-modality similarity searches, plus how to embed videos and PDFs directly from bytes. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#rag](https://daily.dev/tags/rag), [#vector-search](https://daily.dev/tags/vector-search), [#google-gemini](https://daily.dev/tags/google-gemini), [#google-ai](https://daily.dev/tags/google-ai) [View this post on daily.dev](https://daily.dev/posts/gemini-embedding-2---audio-text-images-docs-videos-lapbdyhiu) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Gemini Embedding 2 - Audio, Text, Images, Docs, Videos","url":"https://daily.dev/posts/gemini-embedding-2---audio-text-images-docs-videos-lapbdyhiu","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/gemini-embedding-2---audio-text-images-docs-videos-lapbdyhiu"},"datePublished":"2026-03-11T13:36:46.737Z","dateModified":"2026-03-17T13:58:07.824Z","description":"Gemini Embedding 2 is Google's first natively multimodal embedding model that handles text, images, audio, video (up to 2 minutes), and PDFs in a single...","image":"https://i.ytimg.com/vi/zUkKvWBJ_0I/sddefault.jpg","thumbnailUrl":"https://i.ytimg.com/vi/zUkKvWBJ_0I/sddefault.jpg","isAccessibleForFree":true,"articleSection":"Sam Witteveen","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Sam Witteveen","logo":"https://media.daily.dev/image/upload/s--gJm-KsgL--/f_auto/v1711727006/logos/samwitteveenai","url":"https://daily.dev/sources/samwitteveenai"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/gemini-embedding-2---audio-text-images-docs-videos-lapbdyhiu","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"rag,vector-search,google-gemini,google-ai","timeRequired":"PT20M","video":{"@type":"VideoObject","name":"Gemini Embedding 2 - Audio, Text, Images, Docs, Videos","description":"Gemini Embedding 2 is Google's first natively multimodal embedding model that handles text, images, audio, video (up to 2 minutes), and PDFs in a single...","thumbnailUrl":"https://i.ytimg.com/vi/zUkKvWBJ_0I/sddefault.jpg","uploadDate":"2026-03-11T13:36:46.737Z","duration":"PT20M","url":"https://api.daily.dev/r/LaPbDYhIU","embedUrl":"https://www.youtube.com/embed/zUkKvWBJ_0I"}} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Sam Witteveen","item":"https://daily.dev/sources/samwitteveenai"},{"@type":"ListItem","position":3,"name":"Gemini Embedding 2 - Audio, Text, Images, Docs, Videos"}]} ```