What are Vector Databases?

Vector Databases are specialized databases optimized for storing and querying vector embeddings. These embeddings represent data such as text, images, or audio in a high-dimensional space, allowing for similarity-based retrieval using metrics like cosine similarity.

Vector databases play a crucial role in systems such as semantic search, dense retrieval, and knowledge retrieval, enabling efficient and accurate retrieval of information in large datasets.