Property EmbeddingModel
EmbeddingModel
Gets the embedding model used for computing text embeddings during passage retrieval.
public LM EmbeddingModel { get; }
Property Value
- LM
The text embedding model, or
nullif no embedding model is configured.
Examples
using var chat = new PdfChat(chatModel, embeddingModel);
Console.WriteLine($"Embedding model: {chat.EmbeddingModel?.Name ?? "None"}");
Remarks
This model generates vector representations of text, enabling semantic similarity search when querying documents loaded with PassageRetrieval mode.