---
title: "Discussion on \"Embedding v2: One Vector, Every Modality\" | Hashnode"
description: "Discussion on \"Embedding v2: One Vector, Every Modality\". 2025 has been great for the embedding model space, with Google’s Gemini-Embedding-001-Model and Alibaba team releasing their own series of Qwen3 embedding models. Both models outperform their predecessors in quality on various tasks for text embeddin..."
url: "https://hashnode.com/posts/embedding-v2-one-vector-every-modality/68cb2989973fcb9ffd9496ad"
---

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# [Embedding v2: One Vector, Every Modality](https://blogdata.jigsawstack.com/embedding-v2-one-vector-every-modality?utm_source=hashnode&utm_medium=feed)

2025 has been great for the embedding model space, with Google’s Gemini-Embedding-001-Model and Alibaba team releasing their own series of Qwen3 embedding models. Both models outperform their predecessors in quality on various tasks for text embeddin...

Sep 17, 2025 · 5 min read · blogdata.jigsawstack.com  
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## Written by

[Harsha V Khurdula](https://hashnode.com/@BlackEyesBrownDragon)

@BlackEyesBrownDragon · San Francisco, CA

  
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keyboard go brrrr

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