Ai Agent Zxc
What is Ai Agent Zxc
AI-Agent-Zxc is an intelligent agent project built on the SpringAI framework, designed to solve complex problems autonomously by utilizing Retrieval Augmented Generation (RAG), Tool Calling, and Multi-modal Content Processing (MCP).
Use cases
Use cases for AI-Agent-Zxc include: 1) Assisting students with learning materials; 2) Automating customer service responses; 3) Analyzing and summarizing information from PDFs and images; 4) Performing complex data queries and generating reports.
How to use
To use AI-Agent-Zxc, users can interact with the agent through a front-end interface, providing queries or commands. The agent will then utilize its capabilities to retrieve information, call external tools, and process multi-modal content to deliver accurate responses.
Key features
Key features of AI-Agent-Zxc include: 1) Integration with Spring AI for seamless model calls; 2) RAG for enhanced knowledge retrieval; 3) Tool Calling for dynamic interaction with external services; 4) MCP for processing various content formats; 5) An autonomous Agent capable of understanding user intent and executing complex tasks.
Where to use
AI-Agent-Zxc can be used in various fields such as education for tutoring, customer support for handling inquiries, and data analysis for extracting insights from documents and databases.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Ai Agent Zxc
AI-Agent-Zxc is an intelligent agent project built on the SpringAI framework, designed to solve complex problems autonomously by utilizing Retrieval Augmented Generation (RAG), Tool Calling, and Multi-modal Content Processing (MCP).
Use cases
Use cases for AI-Agent-Zxc include: 1) Assisting students with learning materials; 2) Automating customer service responses; 3) Analyzing and summarizing information from PDFs and images; 4) Performing complex data queries and generating reports.
How to use
To use AI-Agent-Zxc, users can interact with the agent through a front-end interface, providing queries or commands. The agent will then utilize its capabilities to retrieve information, call external tools, and process multi-modal content to deliver accurate responses.
Key features
Key features of AI-Agent-Zxc include: 1) Integration with Spring AI for seamless model calls; 2) RAG for enhanced knowledge retrieval; 3) Tool Calling for dynamic interaction with external services; 4) MCP for processing various content formats; 5) An autonomous Agent capable of understanding user intent and executing complex tasks.
Where to use
AI-Agent-Zxc can be used in various fields such as education for tutoring, customer support for handling inquiries, and data analysis for extracting insights from documents and databases.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
AI智能体项目
这是一个基于Spring AI框架构建的AI智能体项目，旨在展示如何结合RAG（检索增强生成）、Tool Calling、多模态内容处理（MCP）以及Agent技术来构建强大的智能应用。
模型一：AI学习智能体
使用RAG、Tool Calling和MCP，主要解决简单的计算机学习问题，调用知识库获取外部知识，更改SystemPrompt和知识库就可以获得一个你的专属AI
模型二：AI超级智能体
使用CoT思维链，ReAct思考行动，将一个问题分解回答，调用工具解决问题
核心技术亮点
1. Spring AI
本项目采用Spring AI作为核心框架，它提供了一套简洁、统一的API，用于集成各种AI模型（如OpenAI、Hugging Face等）。通过Spring AI，我们可以轻松地进行文本生成、嵌入、图像处理等操作，极大地简化了AI应用的开发。
2. RAG (Retrieval Augmented Generation)
为了增强AI模型的知识广度和准确性，本项目集成了RAG技术。通过RAG，AI智能体能够从外部知识库（例如项目中的SQL数据库、PDF文档等）中检索相关信息，并将其作为上下文输入给语言模型，从而生成更准确、更具信息量的回复。这对于处理特定领域知识或实时数据非常有用。
3. Tool Calling
智能体通过Tool Calling能力，可以根据用户的指令或当前任务的需要，动态地调用外部工具或服务来完成复杂的操作。例如，智能体可以调用数据库查询工具来获取数据，或者调用文件处理工具来解析文档。这使得智能体不仅限于文本交互，还能与外部系统进行深度集成。
4. MCP (Multi-modal Content Processing)
本项目支持多模态内容处理，特别是针对图片和PDF文档。通过MCP，智能体能够理解和处理不同格式的信息，例如从PDF中提取文本内容，或者对图片进行分析。这使得智能体能够处理更丰富的用户输入和输出。
5. Agent
本项目中的AI智能体（Agent）是核心组件，它能够理解用户意图，规划执行步骤，并利用RAG、Tool Calling和MCP等能力来完成任务。Agent的设计使得系统具备了更强的自主性和问题解决能力，能够处理更复杂的业务逻辑和用户请求。
项目展示
项目结构概览
.gitignore .mvn/ chatMemory/ pom.xml sql/ ├── table.sql src/ ├── main/ │ ├── java/ │ └── resources/ └── test/ └── java/ tmp/ ├── files/ ├── pdf/ └── resource/ zxc-agent-picture-search-mcp-server/ # 可能包含图片搜索和多模态内 容处理相关服务 ├── .gitignore ├── .mvn/ ├── pom.xml └── src/ ├── main/ └── test/ zxcAgent-Front/ # 前端项目，可能用于展示智能体交互界面 ├── .gitignore ├── README.md ├── index.html ├── package-lock.json ├── package.json ├── public/ │ └── vite.svg ├── src/ │ ├── App.vue │ ├── assets/ │ ├── components/ │ ├── main.js │ ├── router/ │ ├── style.css │ └── views/ └── vite.config.js
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
