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langchain4j-aideepin
基于AI的工作效率提升工具 | Ai-based productivity tools (Chat,Draw,RAG etc)
Stars: 419
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LangChain4j-AIDeepin is an open-source, offline deployable retrieval enhancement generation (RAG) project based on large language models such as ChatGPT and Langchain4j application framework. It offers features like registration & login, multi-session support, image generation, prompt words, quota control, knowledge base, model-based search, model switching, and search engine switching. The project integrates models like ChatGPT 3.5, Tongyi Qianwen, Wenxin Yiyuan, Ollama, and DALL-E 2. The backend uses technologies like JDK 17, Spring Boot 3.0.5, Langchain4j, and PostgreSQL with pgvector extension, while the frontend is built with Vue3, TypeScript, and PNPM.
README:
LangChain4j-AIDeepin(得应) 是基于AI的工作效率提升工具。
可用于辅助企业/团队进行技术研发、产品设计、人事/财务/IT信息咨询、系统/商品咨询、客服话术支撑等工作
🌟该项目如对您有帮助,欢迎点赞🌟
AIDEEPIN
|__ 服务端(langchain4j-aideepin)
|__ 用户端WEB(langchain4j-aideepin-web)
|__ 管理端WEB(langchain4j-aideepin-admin)
👉详细文档
前端项目:
- 注册&登录
- 多会话(多角色)
- 图片生成(文生图、修图、图生图)
- 提示词
- 额度控制
- 基于大模型的知识库(RAG)
- 向量搜索
- 图搜索
- 基于大模型的网络搜索(RAG)
- 多模型随意切换
- 多搜索引擎随意切换
- DeepSeek
- ChatGPT 3.5
- 通义千问
- 通义万相
- 文心一言
- ollama
- DALL-E 2
- DALL-E 3
Bing (TODO)
百度 (TODO)
该仓库为后端服务
技术栈:
- jdk17
- springboot3.0.5
- langchain4j(Java version of LangChain)
- Postgresql
- pgvector扩展:https://github.com/pgvector/pgvector
- Apage AGE扩展:https://github.com/apache/age
前端技术栈:
- vue3
- vite
- typescript
- pnpm
- pinia
- naiveui
a. 初始化数据库
-
创建数据库aideepin
-
执行docs/create.sql
-
配置模型(至少设置一个) 或者 使用管理端在界面上配置
- 配置AI平台
-- DeepSeek的secretKey update adi_sys_config set value = '{"base_url":"https://api.deepseek.com","secret_key":"my_deepseek_secret_key"}' where name = 'deepseek_setting'; -- openai的secretKey update adi_sys_config set value = '{"secret_key":"my_openai_secret_key"}' where name = 'openai_setting'; -- 灵积大模型平台的apiKey update adi_sys_config set value = '{"api_key":"my_dashcope_api_key"}' where name = 'dashscope_setting'; -- 千帆大模型平台的配置 update adi_sys_config set value = '{"api_key":"my_qianfan_api_key","secret_key":"my_qianfan_secret_key"}' where name = 'qianfan_setting'; -- ollama的配置 update adi_sys_config set value = '{"base_url":"my_ollama_base_url"}' where name = 'ollama_setting';
- 启用AI平台下的模型或新增模型
-- Enable model update adi_ai_model set is_enable = true where name = 'deepseek-chat'; update adi_ai_model set is_enable = true where name = 'gpt-3.5-turbo'; update adi_ai_model set is_enable = true where name = 'dall-e-2'; update adi_ai_model set is_enable = true where name = 'qwen-turbo'; update adi_ai_model set is_enable = true where name = 'ERNIE-Speed-128K'; update adi_ai_model set is_enable = true where name = 'tinydolphin'; -- Add new model INSERT INTO adi_ai_model (name, type, platform, is_enable) VALUES ('vicuna', 'text', 'ollama', true);
- 配置AI平台
-
填充搜索引擎的配置
- Google的配置
update adi_sys_config set value = '{"url":"https://www.googleapis.com/customsearch/v1","key":"my key from cloud.google.com","cx":"my cx from programmablesearchengine.google.com"}' where name = 'google_setting';
- Google的配置
b. 修改配置文件
- postgresql: application-[dev|prod].xml中的spring.datasource
- redis: application-[dev|prod].xml中的spring.data.redis
- mail: application.xml中的spring.mail
-
进入项目
cd langchain4j-aideepin
-
打包:
mvn clean package -Dmaven.test.skip=true
-
运行
- jar包启动:
cd adi-bootstrap/target nohup java -jar -Xms768m -Xmx1024m -XX:+HeapDumpOnOutOfMemoryError adi-bootstrap-0.0.1-SNAPSHOT.jar --spring.profiles.active=[dev|prod] dev/null 2>&1 &
- docker启动
cd adi-bootstrap docker build . -t aideepin:0.0.1 docker run -d \ --name=aideepin \ -e APP_PROFILE=[dev|prod] \ -v="/data/aideepin/logs:/data/logs" \ aideepin:0.0.1
- 高级RAG
- 查询压缩 √
- 查询路由
- Re-rank:支持本地rerank模型
- AI聊天
- 多角色 √
- 预设通用角色(管理后台创建) √
- 图片模型:
- DALL-E 2 & DALL-E 3 √
- 通义万相 √
- 聊天视图 √
- 画廊视图 √
- 开放/收藏图片 √
- 图片评论 √
- 知识库:
- 向量 √
- 知识图谱 √
- 文档召回数量可设置
- 自动调整(根据LLM的上下文窗口大小) √
- 手动调整 √
- 文档召回最低分数可设置 √
- 切块时内容重叠数量可设置 √
- 请求模型时temperature可设置 √
- 严格模式与非严格模式 √
- 答案来源 √
- 支持拉取在线文档
- FAQ
- 评论
- 多模态支持
- 图片 √
- 音频
- 视频
- 自定义AI Agent(工作流)
- 工具
- FAQ提取
- 文档对话
- 翻译
- 图片处理
- 修图
- 抠图
- 扩图
- 合成
- 背景生成 √
- 搜索引擎
- Google √
- Bing
- 百度
- 额度统计及控制
- 免费额度统计及限制 √
- 计费额度统计及限制 √
- 总额度统计 √
- 开放接口
- 其他
- 阿里云OSS √
AI画图:
向量化:
知识图谱:
额度统计:
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PyRIT
PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.
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tabby
Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features: * Self-contained, with no need for a DBMS or cloud service. * OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). * Supports consumer-grade GPUs.
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spear
SPEAR (Simulator for Photorealistic Embodied AI Research) is a powerful tool for training embodied agents. It features 300 unique virtual indoor environments with 2,566 unique rooms and 17,234 unique objects that can be manipulated individually. Each environment is designed by a professional artist and features detailed geometry, photorealistic materials, and a unique floor plan and object layout. SPEAR is implemented as Unreal Engine assets and provides an OpenAI Gym interface for interacting with the environments via Python.
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Magick
Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.