📄 中文摘要
关键词搜索是信息检索中的一种重要方法，主要依赖于文本的关键词匹配。TF-IDF（词频-逆文档频率）和BM25是两种常用的关键词搜索算法。TF-IDF通过计算词汇在文档中的频率与其在整个语料库中的稀有性来评估关键词的重要性，而BM25则在此基础上引入了文档长度的归一化和其他参数，以提高搜索结果的相关性。混合搜索结合了关键词搜索与其他检索方法，能够更全面地满足用户的信息需求，提升搜索的准确性和效率。理解这些基础概念对于优化搜索引擎和信息检索系统至关重要。
混合搜索中的RAG：关键词搜索是如何工作的？
出处: RAG with Hybrid Search: How Does Keyword Search Work?
发布: 2026年3月4日
📄 English Summary
RAG with Hybrid Search: How Does Keyword Search Work?
Keyword search is a crucial method in information retrieval, primarily relying on keyword matching within texts. Two commonly used algorithms for keyword search are TF-IDF (Term Frequency-Inverse Document Frequency) and BM25. TF-IDF assesses the importance of keywords by calculating their frequency in a document relative to their rarity across the entire corpus, while BM25 builds on this by incorporating document length normalization and other parameters to enhance the relevance of search results. Hybrid search combines keyword search with other retrieval methods, providing a more comprehensive approach to meet user information needs and improving search accuracy and efficiency. Understanding these foundational concepts is essential for optimizing search engines and information retrieval systems.