Hybrid Search Rankers
Rankers in this section should be used in hybrid searches.
Weighted Ranker [READ MORE]
Weighted Ranker intelligently combines and prioritizes results from multiple search paths by assigning different importance weights to each. Similar to how a skilled chef balances multiple ingredients to create the perfect dish, Weighted Ranker balances different search results to deliver the most relevant combined outcomes. This approach is ideal when searching across multiple vector fields or modalities where certain fields should contribute more significantly to the final ranking than others.
RRF Ranker [READ MORE]
Reciprocal Rank Fusion (RRF) Ranker is a reranking strategy for Zilliz Cloud hybrid search that balances results from multiple vector search paths based on their ranking positions rather than their raw similarity scores. Like a sports tournament that considers players' rankings rather than individual statistics, RRF Ranker combines search results based on how highly each item ranks in different search paths, creating a fair and balanced final ranking.