Vector Embeddings Explained: Semantic Search & LLM Integration Guide
In modern search systems and large language models, semantic similarity embeddings play a key role, enabling computers to work not only with words but also with content. Thanks to text and word embeddings, text, documents, and queries are transformed into semantic vectors, in which the proximity between vectors reflects semantic
