#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
RsS iS dEaD LOL: discover RSS Feeds of your follows on Mastodon
频道曾经提及过一个叫 FeedsMage 的服务,用于从你 fo 的推友的 Bio 里找链接,再从链接里找 Feed ,最后可生成一个 #OPML 文件。RsS iS dEaD LOL 则是长毛象版的 FeedsMage,从你 fo 的 Fediverse 用户的 Bio 里找链接,发现 RSS,然后可生成 #OPML:
https://rss-is-dead.lol/
例如我的:
https://rss-is-dead.lol/user?profileUrl=https%3A%2F%2Fmastodon.social%2Fusers%2FAboutRSS
发现于作者嘟文:
https://mastodon.social/@paulcuth/112178886374464145