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Source channel @githubtrending · Post #15168 · Sep 25

#python#ai#context#embedded#faiss#knowledge_base#knowledge_graph#llm#machine_learning#memory#nlp#offline_first#opencv#python#rag#retrieval_augmented_generation#semantic_search#vector_database#video_processing Memvid lets you store millions of text pieces inside a single MP4 video file using QR codes, making your data 50-100 times smaller than usual databases. You can search this video instantly in under 100 milliseconds without needing servers or internet after setup. It works offline, is easy to use with simple Python code, and supports PDFs and chat with your data. The upcoming version 2 will add features like continuous memory updates, shareable capsules, fast local caching, and better video compression, making your AI memory smarter, faster, and more flexible. This means you get a powerful, portable, and efficient way to manage and search huge knowledge bases quickly and easily. https://github.com/Olow304/memvid

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@android_broadcast · Post #9451 · 08/28/2025, 01:06 PM

🤖Вышла библиотека Wear Compose 1.5 с поддержкой Material 3 Expressive Обновленная библиотека содержит все виджеты для реализации приложения в новом дизайне Google Помимо этого выпустили 👉Обновленную документацию по дизайну приложений 👉Руководство по миграции на Material 3 👉Примеры на GitHub #android#wearos#material3expressice#material3