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    spring-ai-apps

    spring-ai-apps

    Mark7766 March 5, 2025
    65 copies 0 downloads

    Easily get started with Spring-AI to develop various AI applications, including TextToSQL and private data AI application development. In addition to these capabilities, Spring-AI also supports integration with several other advanced AI technologies and platforms such as DeepSeek, Azure, Ollama, Vector Databases, Function Calling, MCP and RAG.

    Agent Definition
    # spring-ai-apps
    **[中文版本](./README-zh.md)**  
    This is a collection of Spring AI small applications, aimed at helping everyone easily learn how to apply Spring AI for AI application development, reducing cognitive burden. Each small application has minimal code, but the framework is fully set up, resolving various version conflict issues.
    # Spring AI Small Application List:
    | Category             | Application Name               | Description                                                                                   |
    |---------------------|-------------------------------|-----------------------------------------------------------------------------------------------|
    | **Chat Model**      | [chat-deepseek](chat-deepseek)    | A chat application based on DeepSeek.                                                         |
    | **Chat Model**      | [chat-azure](chat-azure)          | A chat application based on Azure's OpenAI large model.                                       |
    | **Chat Model**      | [newston](newston)                | An intelligent editing agent that retrieves the latest stories, summarizes AI and software development content, and sends them to recipients via email. |
    | **Chat Model**      | [memory-llama](memory-llama)      | Demonstrates how Spring AI implements memory functions and streaming output, supporting multi-turn conversations for better answers. |
    | **Chat Model**      | [prototype-design](prototype-design) | Quickly generates prototype designs based on natural language and templates, suitable for product managers or business analysts. |
    | **Embedding Model** | [embeddings-ollama](embeddings-ollama) | A Q&A application that vectorizes private data using Ollama+Qwen2.5.                          |
    | **Vector Database** | [chroma-ollama](chroma-ollama)    | Combines Ollama+Qwen2.5 with Chroma for vector storage and Q&A applications with private PDF data **Vector Database** | [neo4j-ollama](neo4j-ollama) | A GraphRAG example using Neo4j 

    Tags

    agentaichatbotllmragspring-aispring-ai-alibabaspring-ai-chat-memoryspring-ai-mcpspring-ai-ollama

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