LC-di-yan/Lincan-Travel-Assistant-Agent

基于大语言模型的多智能体旅行规划系统,采用 Plan-and-Execute 架构,提供智能化的差旅出行助手服务。 核心特性包括:基于 LLM 语义理解的 6 大类意图识别(准确率 90%+)、两层记忆架构(Redis 短期缓存 + PostgreSQL 长期持久化)、RAG 知识库检索(准确率 95%)。 性能方面,优先级并行调度使响应时间从 30 秒优化至 15 秒;插件化架构支持懒加载,启动仅需 3 秒。 技术栈:AgentScope、豆包大模型、PostgreSQL、Redis、Milvus、BGE Embedding。

GitHub repository with 6 stars and 1 forks.

Language: Python

Open provider repository

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2026-06-05: 6 stars and 1 forks.

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