Does it support vector embeddings for RAG?

Yes, it includes guidance for using the text-embedding-v1 model via EmbeddingClient for tasks like semantic search and data retrieval.

How do I configure my DashScope API key?

You can configure it in your application.yml under spring.ai.alibaba.dashscope.api-key or by using the DASHSCOPE_API_KEY environment variable.

Can I implement streaming responses with this skill?

Yes, the skill provides implementation patterns using StreamingChatClient and Reactor's Flux for real-time AI responses.

Which Qwen models are supported?

The skill supports qwen-turbo for speed, qwen-plus for balance, and qwen-max for complex reasoning and high performance.

Spring AI Alibaba Integration

Name: Spring AI Alibaba Integration
Author: partme-ai

bypartme-ai

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Ciencia de Datos y ML

Integrates Alibaba Cloud DashScope AI services into Spring applications using the Spring AI framework.

Acerca de

This skill provides comprehensive guidance and implementation patterns for integrating Alibaba Cloud's DashScope (Tongyi Qianwen) services into Spring Boot projects. It covers everything from dependency management and YAML configuration to advanced implementations like streaming responses, embedding generation, prompt templating, and maintaining multi-turn conversation history, enabling developers to build production-ready AI-powered Java applications seamlessly within the Alibaba Cloud ecosystem.

Características Principales

Advanced prompt template management and rendering
High-performance text embedding generation
Streaming and non-streaming chat client implementations
Seamless Alibaba Cloud DashScope (Qwen) integration
Multi-turn conversation state management
37 GitHub stars

Casos de Uso

Adding AI-driven content generation or summarization to Java backends
Building intelligent chatbots using Tongyi Qianwen models
Implementing Retrieval-Augmented Generation (RAG) with DashScope embeddings

Acerca de

Características Principales

Advanced prompt template management and rendering
High-performance text embedding generation
Streaming and non-streaming chat client implementations
Seamless Alibaba Cloud DashScope (Qwen) integration
Multi-turn conversation state management
37 GitHub stars

Casos de Uso

Adding AI-driven content generation or summarization to Java backends
Building intelligent chatbots using Tongyi Qianwen models
Implementing Retrieval-Augmented Generation (RAG) with DashScope embeddings