Telerik.Documents.AI.Core

Represents a text embedding consisting of the original text and its associated vector representation.

Provides methods for splitting text into context fragments and joining them.

Provides methods for retrieving relevant context from embeddings and managing text fragments.

Defines a contract for generating vector embeddings from a collection of text fragments asynchronously.

Represents configuration settings for generating embeddings using an AI model.

Defines a fragment which can be converted to text representations suitable for context or embedding scenarios.

Provides access to a collection of string fragments.

Defines methods for calculating similarity scores between a query and a set of text fragments, enabling retrieval of the most relevant fragments based on semantic similarity.

Defines behavior for settings working with embedding of json.

Defines behavior for settings working with embedding of plain text.

Defines a contract for counting tokens in a given input.

Represents a score indicating the similarity of an item to a reference point.