Telerik.Windows.Documents.AIConnector

Abstract base for AI processors that run Q&A and summarization over document text (such as PDF), providing shared configuration and an IDisposable lifecycle for derived processors.

Settings for full-context processing over document text (such as PDF), configuring token limits, encoding, and model selection.

Single-shot Q&A that sends the entire document text to the model; use when the document fits within the model’s input token limit.

Provides factory methods for creating and configuring embedding settings used in processing text and spread documents with customizable model and tokenization parameters.

Retrieval-augmented Q&A that indexes the document into embeddings and fetches the most similar chunks before prompting; use when the document exceeds the model’s input window.

Generates a concise summary of a document’s text (such as PDF) using full-context prompting up to the configured input token limit.

Settings for AI summarization over document text (such as PDF), configuring token limits and prompt customization.

Carries resource estimates for summarizing document text (such as PDF), including call count and token usage, and enables flow control.