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heise199/RAG-Based-Programming-Knowledge-Q-A-Assistant-C-Example-

memorygit untested

本文设计开发了一种基于RAG（检索增强生成）架构的程序设计课程智能问答系统。该系统通过LangChain框架实现文档处理与检索增强流程，利用Ollama平台本地化部署7B参数的Deepseek-R1大模型，并搭配Flask + HTML5构建轻量化Web服务，实现了从知识预处理到智能交互的技术闭环。系统支持多模态数据知识库动态扩增，采用bge-large-zh-v1.5模型生成词向量，利用FAISS管理向量库，成功构建出一个高效、精准且实用的程序设计学习问答平台。实验结果表明，该系统在知识检索效率、回答准确性和用户交互体验方面均表现出色，具备实用性和可部署性质。

🔌 Network
undeclared
⏳ Sandbox
untested

Who this is for

  • anyone who wants the agent to remember long-running context
下载量 / Downloads
0

Install

dsh plugin --profile web add heise199/RAG-Based-Programming-Knowledge-Q-A-Assistant-C-Example-

Sandbox test

This plugin has not been tested yet. Submit a test →

Links

GitHub · npm

Frequently asked

How do I install heise199/RAG-Based-Programming-Knowledge-Q-A-Assistant-C-Example-?
Run dsh plugin --profile web add heise199/RAG-Based-Programming-Knowledge-Q-A-Assistant-C-Example- in DSH, or paste the package name into the DSH Desktop plugin page.
What if it fails to install?
Check your DSH version first (dsh --version), then look at the first error in the test-results section. If it still fails, open an issue on the repository.
How do I uninstall it?
Run dsh plugin --profile web remove heise199/RAG-Based-Programming-Knowledge-Q-A-Assistant-C-Example-.

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