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README
Apache-2.0

langchain-springboot

用langchain的思想,构建SpringBoot AI应用。

🚩 本项目未涉及AI模型的微调、训练过程,仅使用相关大语言模型作为技术底座实现相关功能,模型的使用请参看相关官方文档。

涉及技术栈

组件 版本
java 17+
SpringBoot 3.1.0
swagger-ui knife4j-openapi3-jakarta-spring-boot-starter
工具包 hutool-all
缓存 redis
json fastjson2
mysql mysql-connector-j
orm框架 mybatis-plus
openai库 openai-java
前端 freemarker、bootstrap、jquery、recorder.js
stream-chat SSE
LLMs openai、chatglm2、文心一言 、智谱AI、Kimi
embeddings openai、text2vec-transformers、文心一言
vector store weaviate、milvus

langchain 原理

原理图

模型能力矩阵

模型/能力 文本生成 流式输出 语音 函数调用 图片生成 多模态(VISION) 嵌入EMBEDDING
openai 支持 支持 支持 支持 支持 支持 支持
百度(文心) 支持 支持 - 支持 支持 - 支持
智谱(GLM-4) 支持 支持 - 支持 支持 支持 支持
kimi 支持 支持 - - - - -
chatglm2 支持 支持 - - - - -
... ... - - - - - - -

功能路线图

已完成本地知识库上传、及完成openai、chatglm2、百度、智谱GLM-4、kimi五个LLMs模型流式聊天功能。未来计划会接入更多大语言模型,以满足更多需求场景。

  • Langchain 知识库
    • 接入非结构化文档(已支持 md、pdf、docx、txt、csv 等文件格式)
    • 搜索引擎接入
    • 结构化数据接入(如Excel、SQL 等)
    • 知识图谱/图数据库接入
  • 系统功能
    • 用户
      • 用户登录
      • 用户注册
      • 第三方登录
    • 基于 SSE 实现 Stream Chat
    • 语音输入输出
    • 会话管理
    • 知识库管理
    • 支持搜索引擎问答
  • prompts相关功能
    • 摘要
    • 翻译
    • 关键词
    • 文本分类
    • 内容安全
    • 偏好分析
    • 查重
    • 文生图
  • 前端
    • 移动端适配
    • 代码等内容流式输出优化

Quick Start

1. 执行数据库脚本

init-script/db.sql

2. 安装本地向量数据库

-- 安装启动本地向量数据库
docker-compose up -d 

3. 大语言模型

// 配置openai api token
openai.token=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# 或者启动本地chatglm2-6B模型
python .\openai_api.py

更多配置请查看

Wiki

如何构建高质量知识库文档

功能展示

登录 首页 功能2 功能3
功能4 功能5 功能6 功能7
功能8 功能9

聊天Demo

聊天 本地知识库 知识库 知识库 ## 项目交流群 二维码 二维码 🎉 langchain-springboot 项目微信交流群,如果你也对本项目感兴趣,欢迎加入群聊参与讨论交流。如群二维码已过期请扫我的个人二维码拉入群
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