Uses of Enum Class
dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType
Package
Description
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Uses of AzureAiSearchQueryType in dev.langchain4j.rag.content.retriever.azure.search
Modifier and TypeMethodDescriptionstatic AzureAiSearchQueryType
Returns the enum constant of this class with the specified name.static AzureAiSearchQueryType[]
AzureAiSearchQueryType.values()
Returns an array containing the constants of this enum class, in the order they are declared.Modifier and TypeMethodDescriptionAzureAiSearchContentRetriever.Builder.queryType
(AzureAiSearchQueryType azureAiSearchQueryType) Sets the Azure AI Search Query Type.ModifierConstructorDescriptionAzureAiSearchContentRetriever
(String endpoint, com.azure.core.credential.AzureKeyCredential keyCredential, com.azure.core.credential.TokenCredential tokenCredential, boolean createOrUpdateIndex, int dimensions, com.azure.search.documents.indexes.models.SearchIndex index, String indexName, EmbeddingModel embeddingModel, int maxResults, double minScore, AzureAiSearchQueryType azureAiSearchQueryType, AzureAiSearchFilterMapper filterMapper, Filter filter) -
Uses of AzureAiSearchQueryType in dev.langchain4j.store.embedding.azure.search
Modifier and TypeMethodDescriptionstatic double
AbstractAzureAiSearchEmbeddingStore.fromAzureScoreToRelevanceScore
(com.azure.search.documents.models.SearchResult searchResult, AzureAiSearchQueryType azureAiSearchQueryType) Calculates LangChain4j's RelevanceScore from Azure AI Search's score, for the 4 types of search.protected List
<EmbeddingMatch<TextSegment>> AbstractAzureAiSearchEmbeddingStore.getEmbeddingMatches
(com.azure.search.documents.util.SearchPagedIterable searchResults, Double minScore, AzureAiSearchQueryType azureAiSearchQueryType)