vivy-yi/rag-tutorial
完整的RAG技术教程 - 从基础概念到生产部署，系统化掌握检索增强生成技术。包含4个模块、20章内容、17个Jupyter Notebooks、6个企业级实战案例
This comprehensive guide teaches you how to build advanced AI applications that can accurately answer questions using your own specific documents and data. It helps you take unstructured information like company policies or research papers and transform it into an intelligent question-answering system. Business analysts, customer service managers, or research professionals looking to implement smart search and Q&A features would find this invaluable.
Use this if you need to create AI systems that can reliably pull specific, up-to-date answers from your private documents, overcoming common AI "hallucination" issues.
Not ideal if you are a beginner looking for a high-level overview of AI concepts, as this focuses on in-depth implementation details for a specific AI technique.
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 11, 2026
Commits (30d)
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