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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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Crypto M - Crypto News

@CryptoM · Post #64783 · 04/09/2026, 11:05 PM

🚀 High-Stakes Bet on Bulls vs. Wizards NBA Game A significant wager has been placed on the Polymarket prediction platform regarding the NBA regular season game between the Chicago Bulls and the Washington Wizards. According to Odaily, an account with a history of over $4.3 million in losses has invested $150,000 on the Bulls to win against the Wizards with a 5.5-point spread, at an average opening price of 56 cents. Additionally, the same account has placed a $40,000 bet on the Bulls to win with a 6.5-point spread, at an average opening price of 50.9 cents. The NBA regular season game between the Bulls and the Wizards commenced today at 7 a.m. UTC+8. As the season nears its conclusion, the Bulls hold a record of 30 wins and 49 losses, placing them 12th in the Eastern Conference. Meanwhile, the Wizards have a record of 17 wins and 62 losses, ranking 15th in the Eastern Conference. #HighStakesBet#BullsVsWizards#NBA#Polymarket#ChicagoBulls#WashingtonWizards#NBASeason#Betting#SportsBetting#PointSpread#BasketballBetting#EasternConference