Embedding

Embedding is the process of converting text into numerical vectors to compare, retrieve, or analyze information.

Detailed Explanation:

• Purpose: Enables AI to perform tasks like similarity searches, clustering, and semantic analysis.

• Applications: Document search engines, recommendation systems, and question-answering bots.

• Example Use: Searching for documents related to "climate change" using embeddings to find semantically similar content.