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Chaîne source @OnePlusGuide · Post #2985 · 2 janv.

🔻NOTA UFFICIALE SULL'AGGIORNAMENTO A OXYGENOS 11🔻 #OP#OOS#R Oggi, OnePlus ha pubblicato sul forum un post di aggiornamento sullo sviluppo di OxygenOS 11 per i dispositivi meno recenti. Si parte con il Nord, che riceverà la prima build Open Beta la prossima settimana. Per quanto riguarda la serie 7, il problema con la decrittazione di Qualcomm è stato risolto e la ROM è in stadio alpha (closed beta). La Open Beta a questo punto non dovrebbe attendere molto. Per quanto riguarda N10, N100, 6 e 6T seguiranno aggiornamenti più avanti. Probabilmente questi dispositivi riceveranno l'aggiornamento nel corso del Q2 2021. Siete ansiosi di provare la nuova incarnazione di OxygenOS? Io non vedo l'ora! Pierre — Il nostro canale 👉🏼@oneplusguide I nostri gruppi 👉🏼@oneplusitcommunity

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GitHub Trends

@githubtrending · Post #15295 · 11/11/2025 17:00

#python#ai#faiss#gpt_oss#langchain#llama_index#llm#localstorage#offline_first#ollama#privacy#python#rag#retrieval_augmented_generation#vector_database#vector_search#vectors LEANN is a tiny, powerful vector database that lets you turn your laptop into a personal AI assistant capable of searching millions of documents using 97% less storage than traditional systems without losing accuracy. It works by storing a compact graph and computing embeddings only when needed, saving huge space and keeping your data private on your device. You can search your files, emails, browser history, chat logs, live data from platforms like Slack and Twitter, and even codebases—all locally without cloud costs. This means fast, private, and efficient AI-powered search and retrieval on your own laptop. https://github.com/yichuan-w/LEANN

GitHub Trends

@githubtrending · Post #15168 · 25/09/2025 12:30

#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