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Source channel @githubtrending · Post #15433 · Jan 23

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#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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@V1_BLOG · Post #2363 · 02/20/2021, 04:14 PM

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测速机场: ImmTelecom 测速宽带: 北方移动700M 测速时间: 2.21 官网: https://immtel.com 清晰测速图: https://t.me/V1blog_g/57111 测速By-V1测速组 #ImmTelecom 新开的机场，面板用的与佩奇同款，但线路与佩奇无关，稳定性有待观察。 有需要可自行加入 @immtelecom@immtelecom_chat 频道群组 投稿(暂不接受）

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