Vector Embedding 101: The Key to Semantic Search
Too Long; Didn't Read
Semantic search is a method of searching that goes beyond keywords to understand the true meaning and context of our queries. At the heart of semantic search lies vector embedding. Vector embedding is a technique that converts text into a high-dimensional vector, allowing computers to understand and process the meaning of words and phrases like humans do. This enables search engines to return more relevant and accurate results.