Embeddings are vectorial representations of text that capture the semantic meaning of paragraphs through their position in a high dimensional vector space. Mistral AI Embeddings API offers cutting-edge, state-of-the-art embeddings for text, which can be used for many NLP tasks. In this guide, we will cover the fundamentals of the embeddings API, including how to measure the distance between text embeddings, and explore its main use cases: clustering and classification.
