Embedding Models

Embedding models transform data, like text or images, into numerical representations called embeddings. These embeddings capture the semantic meaning and relationships within the data in a vector space. By representing data as vectors, we can perform mathematical operations to determine similarity, cluster related items, and feed the data into machine learning models.

Visit the following resources to learn more:

• @article@What are Embedding Models? An Overview
• @article@Best Open-Source Embedding Models Benchmarked and Ranked