Why do you need to embed?

Embedding is essential because it allows for the integration of complex data into a more manageable format, enhancing the ability to process and analyze information. It helps in capturing the semantic meaning of Words or concepts, facilitating better understanding and relationships within the data. Additionally, embeddings improve the performance of machine learning models by providing a more compact and meaningful representation of input features.