This guide explains how to combine Alibaba Cloud Milvus, a high‑performance vector database, with the low‑code AI platform Dify to create an enterprise‑level Retrieval‑Augmented Generation (RAG) application, covering architecture, installation, data ingestion, and verification steps.
This article demonstrates how to rapidly create a full‑stack Agentic Retrieval‑Augmented Generation (RAG) application using Alibaba Cloud RDS PostgreSQL‑based Supabase, covering data preparation, vector storage, real‑time communication, authentication, deployment steps, performance optimizations, and code examples with LangChain and large language models.
This tutorial walks through the limitations of simple prompt usage, introduces LangChain as a framework for building full‑featured LLM applications, explains its core concepts and components, and provides step‑by‑step code examples for installing, configuring, and running a basic LangChain demo.
This guide walks you through deploying DeepSeek models on Alibaba Cloud PAI, integrating SerpAPI for live web search, building a private knowledge base, and assembling a RAG-enabled chatbot workflow, all within 30 minutes, enabling enterprises to create intelligent applications that combine large‑model capabilities with up‑to‑date information.
This step‑by‑step guide shows how to use Coze’s AI application development features to create, test, and publish a no‑code WeChat mini‑program that generates avatars, covering app creation, workflow design, UI building, online debugging, and one‑click deployment.
