云原生数据仓库 AnalyticDB PostgreSQL版构建智能体的相关内容

文章 2024-08-15 来自：开发者社区

LangChain 构建问题之智能体协同中的决策机制的实现如何解决

问题一：智能体协同中的决策机制是如何实现的？智能体协同中的决策机制是如何实现的？参考回答：在多代理协同系统中，决策机制通常通过协商、投票、优化算法或基于规则的决策方法来实现。例如，某些系统可能使用博弈论中的合作博弈概念，通过智能体之间的协商来达成最优解。其他系统可能采用分布式优化算法，如粒子群优化或遗传算法，来指导智能体的行为。 ...

文章 2024-07-24 来自：开发者社区

LangChain与智能Agent构建问题之MetaGPT中工程师智能体代码错误如何解决

问题一：MetaGPT中的智能体如何减少无效交流？ MetaGPT中的智能体如何减少无效交流？参考回答：通过角色扮演构架，智能体在MetaGPT中被分配了明确的角色和职责，这有助于减少无效交流，并降低大模型产生幻觉的风险。关于本问题的更多问答可点击原文查看： https://developer.aliyun.com/as...

文章 2024-04-23 来自：开发者社区

【AI Agent系列】【LangGraph】0. 快速上手：协同LangChain，LangGraph帮你用图结构轻松构建多智能体应用

大家好，我是同学小张，日常分享AI知识和实战案例欢迎点赞 + 关注，持续学习，持续干货输出。一起交流，一起进步。微信公众号也可搜【同学小张】本站文章一览： ...

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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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