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EmbeddingGemma 2 puts text, code, images, video, and audio in one on-device embedding space

Google DeepMind's Apache-2.0 EmbeddingGemma 2 (740M parameters, or 270M for text only) has an 8K context, 768-dim vectors you can truncate to 128, and jumps from 68.76 to 78.68 on MTEB Code, so it's a fit for local codebase indexing and coding-agent retrieval. Weights are on Hugging Face and Kaggle and run in sentence-transformers 6.1+, Ollama, llama.cpp, vLLM, MLX, and LM Studio.

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Darktrace MCP Server now generally available

Announced Nov 13, the server lets AI assistants query security alerts, pull Cyber AI Analyst findings, and run triage actions across licensed Darktrace products. A read only mode hides tools that change data…

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