[toc] 前言检索增强生成（RAG）是一种技术，它通过使用来自外部来源的事实来增强生成式 AI 模型的知识库，从而提高其准确性和可靠性。RAG 使大型语言模型（LLM）能够对主题做出准确、自信和出色的响应。在本文中，我们将演示如何在应用程序中使用 RAG 技术。为此，我们将使用 Langchain 为 LLM 框架创建一个 Flutter 应用程序，并使用 pgVecto...

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云原生数据仓库AnalyticDB PostgreSQL版

阿里云企业级向量数据仓库产品；基于存算分离架构下，全实时数据分析和数据共享等国内领先的产品能力; 自研高性能的向量检索引擎，助力企业打造丰富 AIGC 应用场景。

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AnalyticDB 与通义千问搭建 AI 智能客服

本方案基于 AnalyticDB for PostgreSQL 的高效向量引擎与阿里云自主研发的通义千问 LLM 模型，构建一个高性能的检索增强生成（Retrieval-Augmented Generation, RAG）应用，实现企业的AI智能客服，更高效地解决客户问题。

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