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luhengshiwo/LLMForEverybody
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
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- datawhalechina/happy-llm
📚 从零开始构建大模型
Why this match
topics agent, llm, rag
- datawhalechina/hello-agents
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
Why this match
topics agent, llm, rag; language differs: Jupyter Notebook → Python
- shaxiu/XianyuAutoAgent
智能闲鱼客服机器人系统：专为闲鱼平台打造的AI值守解决方案，实现闲鱼平台7×24小时自动化值守，支持多专家协同决策、智能议价和上下文感知对话。
Why this match
topics agent, llm; language differs: Jupyter Notebook → Python; license differs: Apache-2.0 → GPL-3.0
- bytedance/trae-agent
Trae Agent is an LLM-based agent for general purpose software engineering tasks.
Why this match
topics agent, llm; language differs: Jupyter Notebook → Python; license differs: Apache-2.0 → MIT
- vanna-ai/vanna
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Why this match
topics agent, llm, rag; language differs: Jupyter Notebook → Python; license differs: Apache-2.0 → MIT
- SharingSource/LogicStack-LeetCode
公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码
Why this match
topics interview-practice, interview-questions
- labring/FastGPT
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.
Why this match
topics agent, llm, rag; language differs: Jupyter Notebook → TypeScript
- run-llama/rags
Build ChatGPT over your data, all with natural language
Why this match
topics agent, llm, rag; language differs: Jupyter Notebook → Python; license differs: Apache-2.0 → MIT