Spring Ai Alibaba Agent
What is Spring Ai Alibaba Agent
This project is an intelligent e-commerce customer service agent developed using SpringAI, featuring retrieval-augmented generation (RAG), dialogue memory, function calling, and MCP service invocation capabilities.
Use cases
The intelligent agent can handle various customer service scenarios in e-commerce, such as answering queries about product availability, processing transactions, and providing personalized recommendations based on user interactions and historical data.
How to use
To use the service, users should clone the provided repositories for the back-end and front-end code. After set up, run the server and client, ensuring that all dependencies are properly configured to enable the communication between the agent and users.
Key features
Key features include retrieval-augmented generation for enhanced responses, a dialogue memory to maintain context over conversations, the ability to call different functions based on user input, and integration with MCP services for extended functionalities.
Where to use
This application is suitable for e-commerce platforms, customer support systems, and any service requiring interactive communication with users, enabling businesses to provide efficient and personalized assistance.
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 Spring Ai Alibaba Agent
This project is an intelligent e-commerce customer service agent developed using SpringAI, featuring retrieval-augmented generation (RAG), dialogue memory, function calling, and MCP service invocation capabilities.
Use cases
The intelligent agent can handle various customer service scenarios in e-commerce, such as answering queries about product availability, processing transactions, and providing personalized recommendations based on user interactions and historical data.
How to use
To use the service, users should clone the provided repositories for the back-end and front-end code. After set up, run the server and client, ensuring that all dependencies are properly configured to enable the communication between the agent and users.
Key features
Key features include retrieval-augmented generation for enhanced responses, a dialogue memory to maintain context over conversations, the ability to call different functions based on user input, and integration with MCP services for extended functionalities.
Where to use
This application is suitable for e-commerce platforms, customer support systems, and any service requiring interactive communication with users, enabling businesses to provide efficient and personalized assistance.
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
参考了spring-ai-alibaba-examples仓库中的playground-flight-booking项目，制作了一个基于SpringAI的具备RAG检索增强生成，对话记忆，函数调用，MCP服务调用等功能的电商客服智能体。
后端代码链接：https://github.com/16Miku/spring-ai-alibaba-agent
前端代码链接：https://github.com/16Miku/chat2-spring-ai
稀土掘金演示博客：基于SpringAI的电商客服智能体
CSDN演示博客：基于SpringAI的电商客服智能体
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.
