Documentation ¶
Index ¶
Constants ¶
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const ( DefaultJinaAIDocumentType = "text" DefaultJinaAIModel = "jina-embeddings-v2-base-en" DefaultVectorizeClassName = true DefaultPropertyIndexed = true DefaultVectorizePropertyName = false DefaultBaseURL = "https://api.jina.ai" )
Variables ¶
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var DefaultDimensions int64 = 1024
Functions ¶
func NewClassSettings ¶
func NewClassSettings(cfg moduletools.ClassConfig) *classSettings
Types ¶
type ClassSettings ¶
type ClassSettings interface { PropertyIndexed(property string) bool VectorizePropertyName(propertyName string) bool VectorizeClassName() bool Model() string BaseURL() string }
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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