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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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@sudo_recast · Post #104 · 04/25/2022, 12:16 PM

GitLab-specific references https://docs.gitlab.com/ee/user/markdown.html#gitlab-specific-references #mark

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Parallel Experiments

@LinghaoCh · Post #755 · 04/10/2022, 02:07 AM

https://store.steampowered.com/app/900270/Reventure/ 令人惊喜的小游戏,核心玩法是在一个剧情老套的像素风 RPG 里找到 100 种不同的结局。 #mark#game

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