Problem: Getting insights from sensitive data while keeping individual privacy is tricky.
Solution: Differential privacy is a mathematical concept that allows for the analysis of sensitive datasets while protecting the privacy of individuals.
Problem: Advancements in semantic understanding of unstructured data created a treasure trove of meaningful data. But traditional databases cannot efficiently store and query them.
Solution: Vector databases specialize in storing high-dimensional vectors, providing efficient querying mechanisms.