Introducing VectorSearch.js (star it & I'll continue to work on it)! A JS lib that allows you to perform semantic search over millions of vectors in ms, & can visualize embeddings too! Runs
#Google's popular #EmbeddingGemma model client side!
github.com/jasonmayes/V...
#TransformersJS #LiteRT #TFJS

Building Your First RAG System 💎 From Mining Ores to Mining Insights Whether you are navigating the underground biomes of...

Building Your First RAG System 💎 From Mining Ores to Mining Insights Whether you are navigating the underground biomes of Core Keeper or the complex spreadsheets of a small business, "inform...

#embeddinggemma #gemma #ai

Origin | Interest | Match

EmbeddingGemma Sets New Benchmark for Lightweight Text Embeddings

EmbeddingGemma, a 300 M-parameter model from Gemma 3, hits state-of-the-art results on the Massive Text Embedding Benchmark and stays under 500 M parameters. Read more: getnews.me/embeddinggemma-sets-new-... #embeddinggemma #textembedding

Google EmbeddingGemma: オンデバイスAI革命 | AI News Googleが発表したEmbeddingGemma。モバイルAIを加速させる画期的なモデルとは？RAG、セマンティック検索がスマホで実現！

AIクリエーターの道 ニュース：Google EmbeddingGemmaが登場！モバイルAIが劇的に進化！RAGやセマンティック検索がスマホで動く！ #EmbeddingGemma #モバイルAI #Gemma3

詳しくはこちら↓↓↓
gamefi.co.jp/2025/09/09/g...

EmbeddingGemma: On-Device AI from Google | AI News Google's EmbeddingGemma brings AI to your devices! Run RAG & semantic search locally. Enhanced privacy & flexibility.

AIMindUpdate News!
Want AI on your phone? Google's EmbeddingGemma enables on-device AI for privacy-focused applications! #EmbeddingGemma #OnDeviceAI #GoogleAI

Click here↓↓↓
aimindupdate.com/2025/09/09/g...

In-browser semantic search with EmbeddingGemma A few days ago, Google DeepMind released a new embedding model based on the Gemma open weight model: EmbeddingGemma. With 308 million parameters, such a model is tiny enough to be able to run on edge ...

In-browser #AI semantic search 🧠 with Google's new #EmbeddingGemma embedding model and @hf.co's #Transformersjs

Gain enhanced privacy, zero server costs, low-latency results directly on your device.👇

glaforge.dev/posts/2025/0...

Google's 0.3B Model: Offline Phone Use, Only 0.2GB Memory Google's EmbeddingGemma: 0.3B open model for offline AI. Runs on <200MB RAM, tops MTEB benchmarks for RAG & semantic search on devices.

#Google launches #EmbeddingGemma: a 0.3B open embedding model for offline RAG/semantic search on phones/laptops. Runs on <200MB RAM, rivals larger models in performance. Could this enable true edge-AI adoption?

aidisruption.ai/p/googles-03...

Google launches EmbeddingGemma for on-device AI embedding tasks Google releases EmbeddingGemma, a 308M parameter multilingual embedding model optimized for mobile devices with sub-200MB RAM usage and 15ms inference times.

Google launches EmbeddingGemma for on-device AI embedding tasks #Google #AI #EmbeddingGemma #MachineLearning #MobileTech

Google launches EmbeddingGemma for on-device AI embedding tasks Google releases EmbeddingGemma, a 308M parameter multilingual embedding model optimized for mobile devices with sub-200MB RAM usage and 15ms inference times.

Google launches EmbeddingGemma for on-device AI embedding tasks #Google #AI #EmbeddingGemma #MachineLearning #MobileTech

Original post on abdulazizahwan.com

Unleashing On-Device AI: My Experience with Google's EmbeddingGemma The world of artificial intelligence is moving at a breakneck speed. For developers and tech enthusiasts, the excitement is p...

#abdul #aziz #ahwan #ai #ai #agent #artificial #intelligence #embedding #gemma #embeddinggemma […]

ITちゃんねる Googleが小型の埋め込みモデル「EmbeddingGemma」を発表、メモリ使用量はわずか200MB #EmbeddingGemma #ITニュース

Googleが小型の埋め込みモデル「EmbeddingGemma」を発表、メモリ使用量はわずか200MB
#EmbeddingGemma #ITニュース