Uses of Record Class
com.tnsai.memory.advanced.ScoredEntry

Packages that use ScoredEntry

Package	Description
com.tnsai.memory.advanced	Advanced memory module: vector search, BM25 text search, Reciprocal Rank Fusion hybrid retrieval, skill memory, importance scoring, staleness detection, and session persistence.

Uses of ScoredEntry in com.tnsai.memory.advanced

Methods in com.tnsai.memory.advanced that return types with arguments of type ScoredEntry

Modifier and Type	Method	Description
final List<ScoredEntry>	ReciprocalRankFusion.fuse(int topK, List<ScoredEntry>... rankedLists)	Fuses multiple ranked lists into a single ranked list.
final List<ScoredEntry>	ReciprocalRankFusion.fuseNormalized(int topK, List<ScoredEntry>... rankedLists)	Fuses ranked lists and normalizes the fused scores to 0.0..1.0.
List<ScoredEntry>	BM25Index.search(String query, int topK)	Searches for the top-K entries matching the query using BM25 scoring.
List<ScoredEntry>	HybridMemoryRetriever.search(String query, int topK)	Searches using both BM25 and vector search, then fuses results via RRF.
List<ScoredEntry>	VectorMemoryStore.search(String query, int topK)	Searches for the top-K most similar entries to the query.
List<ScoredEntry>	VectorIndex.searchByVector(float[] queryVector, int topK)	Returns the top-topK entries by cosine similarity.
List<ScoredEntry>	VectorMemoryStore.searchByVector(float[] queryVector, int topK)	Searches for the top-K most similar entries to a pre-computed query vector.