by eazybytes · MCP Server · ★ 129
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
From Java Dev to AI Engineer: Spring AI Fast Track 🌱 Spring AI Course – Resources & Reference Links Welcome to the official GitHub repository for the Spring AI Course. This course helps you build intelligent applications using the Spring AI framework and integrate powerful LLMs like OpenAI into your Spring Boot apps. Below are some carefully curated reference links and tools used throughout the course. Bookmark this information for quick access during development and exploration. 📘 Official Documentation Spring AI Official Documentation The core reference for understanding Spring AI modules, configuration, and supported AI providers. OpenAI Platform Docs Learn how to use OpenAI's APIs including ChatGPT, GPT-4, embeddings, and more. 🤖 AI Providers & Runtimes Ollama Run open-source large language models (LLMs) locally on your machine with simple commands. AWS Bedrock Access foundation models from various providers via a fully managed AWS service. Docker Desktop Essential for running local AI model runtimes and Docker Compose setups used in the course. Docker Model Runner Use Docker’s official tool for running and managing AI models
| Stars | 129 |
| Forks | 159 |
| Language | Java |
| Category | MCP Server |
| Quality Score | 33.71/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-20 |
| Created | 2025-05-30 |
| Platforms | cli, java, mcp |
| Est. Tokens | ~17k |
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spring-ai is From Java Dev to AI Engineer: Spring AI Fast Track. It is categorized as a MCP Server with 129 GitHub stars.
spring-ai is primarily written in Java. It covers topics such as llm, mcp, mcp-client.
You can find installation instructions and usage details in the spring-ai GitHub repository at github.com/eazybytes/spring-ai. The project has 129 stars and 159 forks, indicating an active community.
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