Dense numerical representations of data, such as text or images, used in tasks like semantic search and retrieval.
More about Embeddings
Embeddings are dense vectors generated by neural network models to represent data, such as text, sentences, or images, in a high-dimensional space. They are designed to capture semantic relationships and similarities between data points.
Embeddings are foundational to technologies like dense retrieval, semantic search, and contextual embeddings, enabling AI systems to perform tasks such as knowledge retrieval and document similarity.
