Vector embeddings: Difference between revisions

Created page with "== Vector Embeddings == Vector embeddings are numeric representations of data that effectively capture certain features or aspects of the data. In the context of text data, they enable semantic search by representing the meanings of words or phrases. Machine learning models generate these embeddings, which are arrays of real numbers with a fixed length, usually ranging from hundreds to thousands of elements. === Text Data and Vectorization === Vectorization is the pro..."