Uses of Class
dev.cachly.SemanticResult

Packages that use SemanticResult

Package	Description
dev.cachly

Uses of SemanticResult in dev.cachly

Methods in dev.cachly that return SemanticResult

Modifier and Type	Method	Description
<T> SemanticResult<T>	SemanticCache.getOrSet(String prompt, Supplier<T> fn, Function<String,double[]> embedFn, double similarityThreshold)	Overload with default namespace, no TTL, normalisation ON.
<T> SemanticResult<T>	SemanticCache.getOrSet(String prompt, Supplier<T> fn, Function<String,double[]> embedFn, double similarityThreshold, long ttlSeconds, String namespace)	Overload with custom namespace + TTL, normalisation ON.
<T> SemanticResult<T>	SemanticCache.getOrSet(String prompt, Supplier<T> fn, Function<String,double[]> embedFn, double similarityThreshold, long ttlSeconds, String namespace, boolean normalizePrompt, double highConfidenceThreshold)	Lookup or compute a semantic cache entry (8-parameter overload, backward-compatible).
<T> SemanticResult<T>	SemanticCache.getOrSet(String prompt, Supplier<T> fn, Function<String,double[]> embedFn, double similarityThreshold, long ttlSeconds, String namespace, boolean normalizePrompt, double highConfidenceThreshold, String quantize)	Full-parameter overload of SemanticCache.getOrSet(java.lang.String, java.util.function.Supplier<T>, java.util.function.Function<java.lang.String, double[]>, double, long, java.lang.String, boolean, double, java.lang.String, boolean) that supports adaptive threshold (§1) and int8 quantization (§7).
<T> SemanticResult<T>	SemanticCache.getOrSet(String prompt, Supplier<T> fn, Function<String,double[]> embedFn, double similarityThreshold, long ttlSeconds, String namespace, boolean normalizePrompt, double highConfidenceThreshold, String quantize, boolean useHybrid)	Full-parameter overload of SemanticCache.getOrSet(java.lang.String, java.util.function.Supplier<T>, java.util.function.Function<java.lang.String, double[]>, double, long, java.lang.String, boolean, double, java.lang.String, boolean) that supports adaptive threshold (§1), int8 quantization (§7) and Hybrid BM25+Vector RRF search (§3).