1. Role of AI in spring ecosystem.
2. Spring AI capabilities
3. LLM understanding
4. Open-AI Integration with Springboot
5. Build APIs using advanced tools like ChatModel, ChatClient, and PromptTemplate.
6. Prompt Engineering
7. Spring AI with DALL-E & Audio model (Multi-modality)
8. Create APIs for text-to-image, image-to-text, text-to-speech and audio processing tasks.
9. RAG ( Retrieval-Augemented Generation) with Spring AI
10. Implement RAG with Spring AI and Vector Stores for enhanced search and contextual responses.
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This repo including AI integration in the Spring ecosystem, covering Spring AI features, OpenAI integration, prompt engineering, multi-modal APIs (text, image, audio), and building intelligent services using ChatModel and PromptTemplate. It also implements Retrieval-Augmented Generation (RAG) with Vector Stores.
meAltf/Spring-AI-With-ChatGPT
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This repo including AI integration in the Spring ecosystem, covering Spring AI features, OpenAI integration, prompt engineering, multi-modal APIs (text, image, audio), and building intelligent services using ChatModel and PromptTemplate. It also implements Retrieval-Augmented Generation (RAG) with Vector Stores.
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