基于LangChain的Python知识问答系统的设计与实现

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中图分类号：TP311 文献标识码：A 文章编号：2096-4706（2026）05-0066-06

Design and Implementation of Knowledge Question Answering System for Python Based on LangChain

ZHANG Ning （College ofComputer Science and Technology，TaiyuanNormal University，Taiyuan O3o619，China）

Abstract： The development and application of large models become a mainstream trend. As the core programming language for the development and appication of large models，the importance of Python continues to increase.To help undergraduatestudentsleaandmasterthis programming language efcientlythis paperdesignsandimplementsanintelligent QuestionAnsweringagentsystem toasiststudents inleaming.ThissystemtakesLangChainframeworkasthecore，integrates the locally deployedDepSeek large model，and combines the local knowledge vectordatabaseconstructed byChroma to complete the analysis and intelligent response to student questions.Meanwhile，Vue3and FastAPIframeworks are adoptedto develop Webapplications，providingasimpleandeasy-to-useinteractive pageforstudents.The proposed implementationscheme has positivepracticalsignificancefortheapplicationofagenttechnologyinundergraduate teachingofcollegesanduniversities.

Keywords： LangChain; agent; vector database; retrieval-augmented generation; Large Language Model

0 引言

在计算机科学与技术专业的本科培养计划中，Python程序设计作为核心基础课程，占据着重要的教学地位。（剩余6451字）