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Source channel @githubtrending · Post #15045 · Aug 10

#typescript#nodejs#openai#typescript You can use the OpenAI TypeScript and JavaScript library to easily connect your apps to OpenAI’s API, letting you generate text, handle streaming responses, upload files, verify webhooks, and more with simple code. It supports Node.js, Deno, Bun, and browsers (with caution), offers full TypeScript types for better coding accuracy and IDE help, and handles errors and retries automatically. You can also use it with Microsoft Azure OpenAI and build real-time chat with WebSocket. This library saves you time and effort by providing ready-to-use, well-documented tools to integrate AI features smoothly into your JavaScript or TypeScript projects. https://github.com/openai/openai-node

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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