Given an input text, search a Vector Embedding space to related text.
Similarity search retrieves items that are close in meaning, content, or structure to a given query, typically using a vector space model. It is a foundation of modern search, recommendation, and information retrieval systems.
Query: “How to schedule a task?” Match: “Creating cron jobs in Linux” Similar in meaning, found via vector similarity