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Source channel @githubtrending · Post #15433 · Jan 23

#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

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👀🇯🇵 Después de conectar 246 jonrones en ocho temporadas de la NPB, uno de los mejores bateadores de poder de Japón será puesto en disponibilidad para equipos de la MLB este invierno. El toletero japonés Munetaka Murakami será puesto en disponibilidad por los Yakult Swallows de la Nippon Professional Baseball. 🇺🇸 Vía Mark Feinsand #️⃣#Murakami 🗞 | t.me/MLB_Daily

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