Recent advancements in natural language processing have led to the development of Vector Embeddings, a technique that represents complex data into numerical representations. This process enables computers to understand semantic relationships between words and comprehend contextual meaning. For instance, words like "king," "queen," "man," and "woman" are transformed into vectors that reflect their relatedness and gender differences.

Source: https://dev.to/busycaesar/rag-explained-generation-of-embeddings-4emh