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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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@PTPPAction · Post #2399 · 10/19/2024, 12:10 PM

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#Rhilip#open 抢先体验版本不保证稳定性 feat: add lemonhd commit Merge branch 'dev' into dev * feat: add lemonhd 描述 屏幕截图 2024-10-19 193700 屏幕截图 2024-10-19 193218

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@PTPPAction · Post #1982 · 05/10/2024, 02:05 PM

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#Rhilip:dev_full_vite #Rhilip#open 抢先体验版本不保证稳定性 build: full use vite to build pkg deps: use vite plugin to provide node polyfills 移除webpack构建部分，全部转为vite构建。 普通用户请勿在生产环境中使用本pr的相关action构建。

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