Search a vector store (OpenAI-compatible).

Options for ranking and filtering search results.

This class configures how search results are ranked and filtered. You can use algorithm-based rerankers (weighted, RRF) or neural rerankers. Defaults from VectorStoresConfig are used when parameters are not provided.

Examples: # Weighted ranker with custom alpha SearchRankingOptions(ranker="weighted", alpha=0.7)

# RRF ranker with custom impact factor
SearchRankingOptions(ranker="rrf", impact_factor=50.0)

# Use config defaults (just specify ranker type)
SearchRankingOptions(ranker="weighted")  # Uses alpha from VectorStoresConfig

# Score threshold filtering
SearchRankingOptions(ranker="weighted", score_threshold=0.5)