Table of Contents

Namespace LMKit.Embeddings

Classes

Embedder

A class designed for generating embeddings from text and image. It facilitates execution of tasks related to natural language and coding, such as semantic search, clustering, topic modeling, and classification. Supports embeddings from:

  • Plain text strings
  • Tokenized text
  • File attachments (e.g. images like PNG, JPEG, TIFF, and documents like TXT, HTML) when the underlying model provides image‑embedding capabilities.
Reranker

Computes embedding-based similarity scores and reorders/reranks documents or text partitions based on their relevance to a given query. Useful for selecting the most relevant items from a set by comparing embedding distances or similarity metrics.