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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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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40375 · 12/21/2025, 02:44 AM

After death, human microbes survive in soil and help break down the body. They work with soil microbes to speed up decomposition and recycle nitrogen, which plants need to grow. These microbes can live in the soil for months or years, turning dead bodies into nutrients that support new life. 🌱🦠💀 [Source] @googlefactss#Decomposition#Microbes#Soil#NitrogenCycle#Ecosystem