Uralstech.UGemini.Models.Embedding Namespace Reference

Classes
class	GeminiBatchEmbedContentRequest
	Generates multiple embeddings from the model given input text in a synchronous call. More...
class	GeminiBatchEmbedContentResponse
	The response to a GeminiBatchEmbedContentRequest. More...
class	GeminiContentEmbedding
	A list of floats representing an embedding. More...
class	GeminiEmbedContentRequest
	Generates an embedding from the model. More...
class	GeminiEmbedContentResponse
	The response to a GeminiEmbedContentRequest. More...

Enumerations
enum	GeminiEmbedTaskType {   Unspecified , RetrievalQuery , RetrievalDocument , SemanticSimilarity ,   Classification , Clustering , QuestionAnswering , FactVerification }
	Type of task for which the embedding will be used. More...

Enumeration Type Documentation

GeminiEmbedTaskType

enum Uralstech.UGemini.Models.Embedding.GeminiEmbedTaskType

Type of task for which the embedding will be used.

Enumerator
Unspecified	Unset value.
RetrievalQuery	Specifies the given text is a query in a search/retrieval setting.
RetrievalDocument	Specifies the given text is a document from the corpus being searched.
SemanticSimilarity	Specifies the given text will be used for STS.
Classification	Specifies that the given text will be classified.
Clustering	Specifies that the embeddings will be used for clustering.
QuestionAnswering	Specifies that the given text will be used for question answering.
FactVerification	Specifies that the given text will be used for fact verification.