This article was written by Erik Hatcher . This is the third and final article of this hybrid search series. First, we surveyed the (hybrid) search landscape , emphasizing that “hybrid search” isn’t a specific technique but rather the broader art and science of blending results from multiple search strategies designed to return results better than each search method on its own. In the second article, we dove into two classic hybrid search techniques, Reciprocal Rank Fusion (RRF) and Relative Score Fusion (RSF) . In this article, we present a different technique we’ve named Semantic Boosting. Semantic boosting is a two-shot retrieval approach that leverages the conceptual understanding of vector search while retaining the robust feature set of a traditional full-text lexical search. In this workflow, a system first executes a vector query to retrieve a broad pool of candidates semantically similar to the user's query.…