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Google Releases Gemini Embedding 2: A Unified Fully Multimodal Embedding Model ==============================================================================
Google Releases Gemini Embedding 2: A Unified Fully Multimodal Embedding Model ==============================================================================  ### AIGCLINK
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谷歌刚刚发布最新模型：Gemini Embedding 2，首款基于Gemini架构的完全多模态嵌入模型
核心是它把文本、图片、视频、音频、文档映射到统一的嵌入空间中，支持跨模态检索和分类，覆盖100+语言
还支持混合输入（比如图片+文字一起传），模型能捕捉不同媒体之间的语义关联
音频也是直接嵌入，不需要先ASR再embedding，直接吃音频出向量
统一到一个模型里，多模态数据处理流程简化多了
可用于RAG、语义搜索、情感分析、数据聚类等场景
#GeminiEmbedding2 #EmbeddingLLM Show More
00:37
#### Google AI Studio
@GoogleAIStudio · 17h ago x.com/i/article/2031…
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One Sentence Summary
Google launches the first fully multimodal embedding model based on the Gemini architecture, enabling unified vector mapping and cross-modal retrieval for text, audio, video, and more.
Summary
Google has officially released Gemini Embedding 2, the first multimodal embedding model built entirely on the Gemini architecture. The model's key breakthrough lies in its ability to map text, images, video, audio, and documents into a single, unified embedding space, supporting cross-modal retrieval and classification for over 100 languages. It supports hybrid inputs (such as image + text), and audio can be embedded directly without the need for Automatic Speech Recognition (ASR) processing. This significantly streamlines the technical pipelines for multimodal RAG, semantic search, and data clustering.
AI Score
88
Influence Score 60
Published At Yesterday
Language
Chinese
Tags
Gemini Embedding 2
Multimodal
Vector Embedding
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Google Releases Gemini Embedding 2: A Unified Fully Multi... ===============