📄 中文摘要
构建一个强大的代理性 RAG 系统需要结合多种搜索技术。首先，定义 RAG（Retrieval-Augmented Generation）的基本概念，强调其在信息检索和生成任务中的重要性。接着，介绍混合搜索的概念，结合传统的关键词搜索与现代的向量搜索，提升信息检索的准确性和效率。通过实例展示如何实现这一系统，包括数据准备、模型训练和优化策略。最后，讨论系统的应用场景及未来发展方向，强调代理性在智能系统中的关键作用。
如何构建具有代理性的混合搜索 RAG 系统
出处: How to Build Agentic RAG with Hybrid Search
发布: 2026年3月13日
📄 English Summary
How to Build Agentic RAG with Hybrid Search
Building a powerful agentic RAG system involves integrating various search techniques. The concept of RAG (Retrieval-Augmented Generation) is defined, highlighting its importance in information retrieval and generation tasks. The idea of hybrid search is introduced, combining traditional keyword search with modern vector search to enhance the accuracy and efficiency of information retrieval. Examples illustrate how to implement this system, including data preparation, model training, and optimization strategies. Finally, the applications and future directions of the system are discussed, emphasizing the critical role of agency in intelligent systems.