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RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Feb 8, 2025 - Python
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
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Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
Creating pixel art for fun or animated sprites for a game? The digital artist in you will love these apps and tools!
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🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Qwen / DeepSeek), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Vision/TTS/Plugins/Artifacts). One-click FREE deployment of your private ChatGPT/ Claude application.
🚀🚀 「大模型」50分钟完全从0训练26M的小参数GPT!🌏 Train a 26M-parameter GPT from scratch in just 50 min!
SGLang is a fast serving framework for large language models and vision language models.
Speech-to-text, text-to-speech, speaker diarization, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter, Object Pascal, Lazarus, Rust
科技爱好者周刊,每周五发布
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Examples and guides for using the OpenAI API
基于大模型搭建的聊天机器人,同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入,可选择GPT3.5/GPT-4o/GPT-o1/ DeepSeek/Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI,能处理文本、语音和图片,访问操作系统和互联网,支持基于自有知识库进行定制企业智能客服。
An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
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