Documentation
¶
Index ¶
Constants ¶
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const ( DefaultOpenAIDocumentType = "text" DefaultOpenAIModel = "ada" DefaultVectorizeClassName = true DefaultPropertyIndexed = true DefaultVectorizePropertyName = false DefaultBaseURL = "https://api.openai.com" )
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const ( TextEmbedding3Small = "text-embedding-3-small" TextEmbedding3Large = "text-embedding-3-large" )
Variables ¶
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var ( TextEmbedding3SmallDefaultDimensions int64 = 1536 TextEmbedding3LargeDefaultDimensions int64 = 3072 )
Functions ¶
func NewClassSettings ¶
func NewClassSettings(cfg moduletools.ClassConfig) *classSettings
func PickDefaultDimensions ¶ added in v1.23.6
func PickDefaultModelVersion ¶
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
IsAzure() bool
}
IndexCheck returns whether a property of a class should be indexed
type Client ¶
type Client interface {
Vectorize(ctx context.Context, input string,
config ent.VectorizationConfig) (*ent.VectorizationResult, error)
VectorizeQuery(ctx context.Context, input []string,
config ent.VectorizationConfig) (*ent.VectorizationResult, error)
}
type Vectorizer ¶
type Vectorizer struct {
// contains filtered or unexported fields
}
func New ¶
func New(client Client) *Vectorizer
func (*Vectorizer) Object ¶
func (v *Vectorizer) Object(ctx context.Context, object *models.Object, comp moduletools.VectorizablePropsComparator, cfg moduletools.ClassConfig, ) ([]float32, models.AdditionalProperties, error)
func (*Vectorizer) Texts ¶
func (v *Vectorizer) Texts(ctx context.Context, inputs []string, cfg moduletools.ClassConfig, ) ([]float32, error)
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