A comprehensive guide to information retrieval

This post provides a foundational overview of information retrieval (IR) principles, models (Boolean, Vector Space, Probabilistic, Language), and core components (document collection, indexing, query processor, ranking algorithm, UI). It highlights Glean's hybrid search approach, combining lexical and semantic methods, and its application in enterprise search. The post also discusses IR quality metrics (precision, recall, F-measure) and emerging trends like semantic search and ML-driven approaches. While not detailing a specific new system build or migration, it elaborates on the core technology powering Glean's enterprise search capabilities.