Understanding Vector Databases Through Storytelling

This session provides an educational journey into vector databases, exploring their evolution and foundational concepts. It delves into the challenges AI agents face with traditional databases and the role of semantic meaning in understanding unstructured data. Core principles, such as vector representations, cosine similarity, and Euclidean distance, are discussed with a focus on visualising data. Practical insights cover database failures, indexing methods, and vector search challenges....