Semantic search doesn't require vector embeddings. Hierarchical taxonomies offer an alternative approach that provides better matching criteria and domain-specific categorization. Using managed vocabularies with hierarchical tokenization in BM25 indexes can achieve semantic similarity while maintaining precise
Table of contents
Semantic search - what exactly is it?Embeddings for semantic searchThe missing semantic search piece of vector retrievalThe other semantic search approach (hierarchical managed taxonomies)Semantic similarity doesn’t need a vector indexBuilding a taxonomy: start simple and evolveClassifying into taxonomies has never been easierFinal thoughtsSort: