Speaker
Description
Today’s AI can answer questions, generate ideas, and assist in decision-making with remarkable fluency. But beneath this intelligence lies a fundamental limitation: memory. If databases are the brain of traditional systems, vector databases are the memory that makes AI truly intelligent.
This presentation will take you on a journey into the memory layer of modern AI systems.
We we discuss why do we need vector database in the first place. We will break down how vector databases enable machines to retrieve information based on meaning rather than keywords, allowing AI systems to remember and reason over vast amounts of data. Along the way, we will uncover how these systems power modern applications such as semantic search where relevant knowledge is retrieved and injected into AI responses in real time .
By the end of this talk, you will see vector databases not just as another type of storage, but as the long-term memory that transforms AI from a static model into a dynamic system.