text2vecbase

Documentation

Index

• type BatchClient
• type BatchVectorizer
  • func New[T types.Embedding](client BatchClient[T], batchVectorizer *batch.Batch[T], ...) *BatchVectorizer[T]
  • func (v *BatchVectorizer[T]) Object(ctx context.Context, object *models.Object, cfg moduletools.ClassConfig, ...) (T, models.AdditionalProperties, error)
  • func (v *BatchVectorizer[T]) ObjectBatch(ctx context.Context, objects []*models.Object, skipObject []bool, ...) ([]T, map[int]error)
  • func (v *BatchVectorizer[T]) Texts(ctx context.Context, inputs []string, cfg moduletools.ClassConfig) (T, error)
• type MetaProvider
• type TextVectorizer
• type TextVectorizerBatch

Types

type BatchClient

type BatchClient[T types.Embedding] interface {
	batch.BatchClient[T]
	VectorizeQuery(ctx context.Context, input []string,
		cfg moduletools.ClassConfig) (*modulecomponents.VectorizationResult[T], error)
}

type BatchVectorizer

type BatchVectorizer[T types.Embedding] struct {
	// contains filtered or unexported fields
}

func New

func New[T types.Embedding](client BatchClient[T], batchVectorizer *batch.Batch[T], tokenizerFunc batch.TokenizerFuncType) *BatchVectorizer[T]

func (*BatchVectorizer[T]) Object

func (v *BatchVectorizer[T]) Object(ctx context.Context, object *models.Object, cfg moduletools.ClassConfig, cs objectsvectorizer.ClassSettings,
) (T, models.AdditionalProperties, error)

func (*BatchVectorizer[T]) ObjectBatch

func (v *BatchVectorizer[T]) ObjectBatch(ctx context.Context, objects []*models.Object, skipObject []bool, cfg moduletools.ClassConfig,
) ([]T, map[int]error)

func (*BatchVectorizer[T]) Texts

func (v *BatchVectorizer[T]) Texts(ctx context.Context, inputs []string,
	cfg moduletools.ClassConfig,
) (T, error)

type MetaProvider

type MetaProvider interface {
	MetaInfo() (map[string]interface{}, error)
}

type TextVectorizer

type TextVectorizer[T types.Embedding] interface {
	Object(ctx context.Context, object *models.Object,
		cfg moduletools.ClassConfig) (T, models.AdditionalProperties, error)
	Texts(ctx context.Context, input []string,
		cfg moduletools.ClassConfig) (T, error)
}

type TextVectorizerBatch

type TextVectorizerBatch[T types.Embedding] interface {
	Texts(ctx context.Context, input []string,
		cfg moduletools.ClassConfig) (T, error)
	Object(ctx context.Context, object *models.Object,
		cfg moduletools.ClassConfig, cs objectsvectorizer.ClassSettings) (T, models.AdditionalProperties, error)
	ObjectBatch(ctx context.Context, objects []*models.Object, skipObject []bool, cfg moduletools.ClassConfig) ([]T, map[int]error)
}