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A LLM RAG application based on LlamaIndex and Streamlit. Optimized for Chinese users by adopting BAAI embedding / reranker models, Ollama local models and using LLM API from Chinese LLM service providers like Zhipu, DeepSeek and Moonshot.
Tars 是一个 Obsidian 插件,支持 Kimi、豆包、阿里千问、百度千帆、智谱、DeepSeek 等等中文大型语言模型(LLMs)基于标签建议进行文本生成。Tars is an Obsidian plugin that uses OpenAI and other Chinese LLMs for text generation based on tag suggestions.
RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.
支持将openai、claude、azure openai, gemini,kimi, 智谱AI,通义千问,讯飞星火API等模型服务方的调用转为openai方式调用。屏蔽不同大模型API的差异,统一用openai api标准格式使用大模型(Shield the differences between different large model APIs and use large models in a unified openai API standard format)