Spring AI Resos FAQs

Question 1

What technologies are used in Spring AI Resos?

Accepted Answer

The project uses Java, Spring Boot, Spring AI, OpenAPI, ReactJS, and Model Context Protocol (MCP). It's designed for developers familiar with these technologies.

Question 2

How do I get started with Spring AI Resos?

Accepted Answer

Clone the repository from GitHub, build the project using Maven, and configure your chosen LLM provider (Groq Cloud, OpenRouter, or OpenAI) API key. Then, run the backend and chatbot modules.

Question 3

What is Spring AI Resos?

Accepted Answer

Spring AI Resos is a project that enables conversational restaurant booking through a Spring AI-enhanced chatbot. It uses an API-first approach, leveraging code generation from OpenAPI specifications.

Question 4

Can I use Spring AI Resos with Claude?

Accepted Answer

Yes, Spring AI Resos includes a pre-configured MCP client for integration with Claude. Follow the instructions in the README to configure Claude Desktop.

Question 5

What are the key features of Spring AI Resos?

Accepted Answer

Key features include code generation from OpenAPI, Spring AI integration for NLP, an MCP server for tool integration, a pre-configured MCP client for Claude, and a standalone ReactJS chatbot UI.

Spring AI Resos

About

Key Features

Use Cases