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Retrieval-Augmented Generation

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The New Stack Amazon Bedrock Amazon Web Services MarkTechPost OpenAI GraphRAG

Tuesday, 6 October 2026

Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4

MarkTechPost 1 week ago 49 ● 7 sources

Google DeepMind released EmbeddingGemma 2, an open multimodal embedding model that maps text, code, images, video, and audio into a shared vector space. It has 740M parameters and uses an 8,192-token context window. The release adds deployable weights under an Apache 2.0 license (including Edge/phone-friendly builds) and enables privacy-first, on-device search and retrieval for RAG pipelines across modalities.

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Open-Weight Models Multimodal Models Retrieval-Augmented Generation Gemma

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