RAG Systems

How Do Vector Databases Work in AI Applications? The Foundation of Semantic Understanding

Vector databases are designed to store and retrieve high-dimensional vector embeddings generated by AI models. Instead of searching exact matches like traditional databases, they enable similarity search, allowing AI systems to find conceptually related data based on distance metrics such as cosine similarity or Euclidean distance.