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Source channel @githubtrending · Post #14728 · May 20

#typescript#android#appwrite#backend#backend_as_a_service#docker#firebase#flutter#hacktoberfest#hosting#ios#javascript#nextjs#react#react_native#reactnative#self_hosted#selfhosted#serverless#swift#web Appwrite is a backend platform that helps you build web, mobile, and Flutter apps quickly and easily. It handles complex tasks like user authentication, database management, file storage, and more, so you don’t have to build these from scratch. Appwrite is open source, secure, and works with many programming languages and frameworks. You can use it in the cloud or host it yourself using Docker. The main benefit is that it saves you time and effort, letting you focus on creating great features for your app instead of worrying about backend setup and maintenance[3][5][1]. https://github.com/appwrite/appwrite

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​​Совсем лайтовая статья для новичков "10 главных конструкций языка R". Содержание: - Комментарии - Переменные и векторы - Внешние модули - Ввод и вывод - Присваивание и сравнение - Условный оператор if - Цикл for - Функции - Классы, методы и объекты #статьи #easy

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@githubtrending · Post #15433 · 01/23/2026, 02:30 PM

#python#deepseek#demo#easy#embedding#flask#gpt#huggingface_transformers#llm#mcp#multimodal#openai#qwen#rag#sentence_transformers#ui#vllm#vlm UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles. https://github.com/OpenBMB/UltraRAG