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Source channel @githubtrending · Post #14772 · Jun 1

#cplusplus#cache#cpp#database#fibers#in_memory#in_memory_database#key_value#keydb#memcached#message_broker#multi_threading#nosql#redis#valkey#vector_search Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4]. https://github.com/dragonflydb/dragonfly

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@roam_newsletter · Post #1192 · 02/07/2023, 05:34 PM

紧追热点,AI 如何回答“高启强是好人吗?” #狂飙 图一 @OpenAI#ChatGPT 图二 @Perplexity_AIhttps://t.co/fHjVq7xS0l 图三 @Google#Bard 均支持 联网查询,结合当前的搜索结果来进行回答。 ChatGPT 用的 prompt 是加上了 #WebChatGPT 插件 👉https://t.co/zhcfVIwd5Nhttps://t.co/yCuikdlYwQhttps://t.co/IaONEJJjhz — jimmylv.eth (🐣, 🐣) 吕立青 2𐃏22 🇨🇳 (@Jimmy_JingLv) Feb 7, 2023