This tutorial shows how to replace manual MySQL query writing with Spring AI by extracting the database schema into Markdown, prompting a large language model to produce precise SQL, and wiring the result through Spring Boot services, a controller, and execution logic.
Spring AI Alibaba extends Spring AI with a native agent and workflow framework, integrating Alibaba's DashScope models, ReactAgent, multi‑agent orchestration, Graph workflows, tool calling, memory handling, and production‑grade features, enabling Java developers to create sophisticated AI applications with just a few lines of code.
This guide walks through configuring Alibaba Cloud credentials, implementing a FastAPI backend with email function calling, Alibaba OpenSearch, image generation via DashScope, speech recognition, and a responsive HTML/CSS/JavaScript front‑end that supports text chat, image recognition, image synthesis, and voice interaction.
This article provides a detailed, hands‑on tutorial for creating an AI agent, covering registration and API key setup for Alibaba Cloud, OpenAI, Dashscope and DeepSeek, installing and using Ollama for local model deployment, configuring CherryStudio, and implementing function‑calling and MCP techniques with full code examples.
This tutorial shows how to create a lightweight Retrieval‑Augmented Generation (RAG) system that indexes multiple PDF files, stores their embeddings in a FAISS vector database, and answers user queries through a LangChain agent powered by DashScope embeddings and the DeepSeek‑Chat model, all wrapped in a Streamlit UI.
This article introduces Alibaba Cloud's AI painting solution, showcases creative use cases, explains the underlying model architecture, and provides a step‑by‑step tutorial for deploying the service on ECS with DashScope in just a few minutes.
This guide walks developers through registering for Alibaba Cloud's Tongyi Qianwen large‑language model, creating a DashScope API‑KEY, and using the OpenAI‑compatible interface with the Webman/openai PHP plugin and a simple JavaScript client to stream responses.
This tutorial walks you through creating a serverless Milvus vector search service on Alibaba Cloud, preparing a news corpus, generating embeddings with DashScope, storing them in Milvus, and performing vector‑based retrieval and question answering using a large language model.
