Embedding Models

Work in Progress

This page is a work in progress.

Embedding Models are your best friends in the world of Chroma, and vector databases in general. They take something you understand in the form of text, images, audio etc. and turn it into a list of numbers (embeddings), which a machine learning model can understand. This process makes documents interpretable by a machine learning model.

Characteristics of an Embedding Model

• Modality
• Context
• Tokenization
• Dimensionality