
Boosted K-Nearest Neighbor Search
The evolution of search architectures highlights the transition from traditional methods to dense vector search, enhancing semantic retrieval. However, integrating external ranking logic remains challenging due to limitations in ranking with vector similarity alone. Solutions like hybrid approaches and re-ranking pipelines exist but fall short of the flexibility offered by eDisMax.



