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Copy file name to clipboardExpand all lines: src/main/java/org/typesense/model/MultiSearchParameters.java
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@@ -259,6 +259,18 @@ public class MultiSearchParameters {
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* Vector query expression for fetching documents \"closest\" to a given query/document vector.
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**/
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privateStringvectorQuery = null;
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@Schema(description = "Timeout (in milliseconds) for fetching remote embeddings. ")
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/**
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* Timeout (in milliseconds) for fetching remote embeddings.
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**/
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privateIntegerremoteEmbeddingTimeoutMs = null;
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@Schema(description = "Number of times to retry fetching remote embeddings. ")
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/**
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* Number of times to retry fetching remote embeddings.
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**/
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privateIntegerremoteEmbeddingNumTries = null;
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/**
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* The query text to search for in the collection. Use * as the search string to return all documents. This is typically useful when used in conjunction with filter_by.
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* @return q
@@ -979,6 +991,42 @@ public MultiSearchParameters vectorQuery(String vectorQuery) {
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returnthis;
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}
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/**
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* Timeout (in milliseconds) for fetching remote embeddings.
Copy file name to clipboardExpand all lines: src/main/java/org/typesense/model/SearchParameters.java
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@@ -278,6 +278,18 @@ public class SearchParameters {
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* Vector query expression for fetching documents \"closest\" to a given query/document vector.
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**/
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privateStringvectorQuery = null;
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@Schema(description = "Timeout (in milliseconds) for fetching remote embeddings. ")
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/**
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* Timeout (in milliseconds) for fetching remote embeddings.
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**/
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privateIntegerremoteEmbeddingTimeoutMs = null;
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@Schema(description = "Number of times to retry fetching remote embeddings. ")
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/**
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* Number of times to retry fetching remote embeddings.
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**/
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privateIntegerremoteEmbeddingNumTries = null;
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/**
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* The query text to search for in the collection. Use * as the search string to return all documents. This is typically useful when used in conjunction with filter_by.
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* @return q
@@ -1070,6 +1082,42 @@ public SearchParameters vectorQuery(String vectorQuery) {
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returnthis;
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}
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/**
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* Timeout (in milliseconds) for fetching remote embeddings.
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