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Source channel @githubtrending · Post #15018 · Aug 1

#typescript#ai_bot#bot#http_api#python_bot#whatsapp#whatsapp_api#whatsapp_automation#whatsapp_bot#whatsapp_chat#whatsapp_web#whatsapp_web_api You can quickly set up WAHA, a WhatsApp HTTP API, on your own server using Docker in just a few minutes. It lets you send and receive WhatsApp messages (text, images, videos, voice) through simple HTTP requests, automating WhatsApp communication without limits on message volume or time. You start by running the API, creating a session by scanning a QR code with your phone, and then sending messages via API calls. This gives you full control, privacy, and flexibility to integrate WhatsApp messaging into your apps or services easily, without relying on third-party SaaS platforms[1]. https://github.com/devlikeapro/waha

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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