---
type: "raw_signal"
id: "google-s-embeddinggemma-2-open-embedding-model-and-02812d"
slug: "google-s-embeddinggemma-2-open-embedding-model-and-02812d"
title: "Google s embeddinggemma 2 open embedding model and apache 2 0 licensing"
description: "Google’s EmbeddingGemma 2 is described in the supplied source as being under the Apache 2.0 license."
retrieval_nugget: "Google’s EmbeddingGemma 2 is described in the supplied source as being under the Apache 2.0 license."
observed_at: "2026-10-06"
record_date: "2026-10-06"
date_kind: "observed_at"
why_it_matters: "Google’s EmbeddingGemma 2 is described in the supplied source as being under the Apache 2.0 license. Simon Willison argues that open weights offer an option if a hosted embedding model is discontinued: an operator could run the weights themselves or use another provider. He notes that embedding applications may calculate thousands or millions of vectors and store them for later comparison, making "
novelty: "notable"
verification_level: "source-linked"
signal_type: "release"
source_platform: "simonwillison.net"
topics: ["google"]
entities: []
related_patterns: []
source_url: "https://simonwillison.net/2026/Oct/6/hn-49983751"
source_urls: ["https://simonwillison.net/2026/Oct/6/hn-49983751"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:google-s-embeddinggemma-2-open-embedding-model-and-02812d"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/google-s-embeddinggemma-2-open-embedding-model-and-02812d/","markdown":"https://newruntime.com/signals/google-s-embeddinggemma-2-open-embedding-model-and-02812d.md","json":"https://newruntime.com/signals/google-s-embeddinggemma-2-open-embedding-model-and-02812d.json"}
---

# Google s embeddinggemma 2 open embedding model and apache 2 0 licensing

## Retrieval answer

Google’s EmbeddingGemma 2 is described in the supplied source as being under the Apache 2.0 license.

Google’s EmbeddingGemma 2 is described in the supplied source as being under the Apache 2.0 license. Simon Willison argues that open weights offer an option if a hosted embedding model is discontinued: an operator could run the weights themselves or use another provider. He notes that embedding applications may calculate thousands or millions of vectors and store them for later comparison, making re-embedding a potential cost when models change. The source is commentary, not a full release specification; it does not establish model capabilities, hosting availability, or migration terms. Source: https://simonwillison.net/2026/Oct/6/hn-49983751

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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