vectorizer

Documentation

Index

• Constants
• func New(client text2vecbase.BatchClient, logger logrus.FieldLogger) *text2vecbase.BatchVectorizer
• type ClassSettings

Constants

const (
	MaxObjectsPerBatch = 2000 // https://platform.openai.com/docs/api-reference/embeddings/create
	// time per token goes down up to a certain batch size and then flattens - however the times vary a lot so we
	// don't want to get too close to the maximum of 50s
	OpenAIMaxTimePerBatch = float64(10)
)

Functions

func New

func New(client text2vecbase.BatchClient, logger logrus.FieldLogger) *text2vecbase.BatchVectorizer

Types

type ClassSettings

type ClassSettings interface {
	PropertyIndexed(property string) bool
	VectorizePropertyName(propertyName string) bool
	VectorizeClassName() bool
	Model() string
	Type() string
	ModelVersion() string
	ResourceName() string
	DeploymentID() string
	BaseURL() string
	ApiVersion() string
	IsAzure() bool
}

IndexCheck returns whether a property of a class should be indexed