Answer: To convert text into numerical representations

In Amazon Bedrock, embeddings are primarily used to convert text into numerical representations (vectors). These vector representations capture the semantic meaning and relationships between words and phrases, enabling machine learning models to understand and process natural language more effectively. Embeddings are fundamental for tasks like semantic search, recommendation systems, and similarity analysis, where text needs to be represented in a format that computers can mathematically process and compare.

Author: Ritesh Yadav