qdrant-hybrid-search-combining

Combining scores from multiple search methods requires a score fusion technique to merge them into a single ranked result. This Skill supports Reciprocal Rank Fusion (RRF) and Distribution-Based Score Fusion (DBSF) for effective combination.

RRF (Reciprocal Rank Fusion) and DBSF (Distribution-Based Score Fusion) are two distinct score fusion methods for merging search results. RRF relies on rank positions, while DBSF considers the underlying score distributions to achieve enhanced ranking precision.

Yes, you can apply custom score fusion based on specific requirements. This Skill supports custom fusion methods and offers a formula query to adjust scoring and ranking by incorporating factors like recency or popularity.

Advanced score fusion is needed when multiple search methods are used and a single, coherent ranking is required. It solves the challenge of merging diverse score distributions to improve the precision of search results.

Implementing custom score fusion requires an understanding of search score distributions and the ability to apply advanced scoring techniques. This ensures the merged results maintain coherent ranking and precision across different search methods.