Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the world of vector databases in this 45-minute conference talk from Conf42 Machine Learning 2023. Delve into the evolution from keyword search to semantic search, and learn how to process, understand, and search through unstructured data in a scalable and secure manner. Discover the role of machine learning in understanding context, and gain insights into vector representations and their applications. Examine Weaviate, an open-source vector database, and understand its modular architecture for flexible search pipelines. Witness a practical demonstration of using vector search to provide context for large language models. By the end of this talk, gain a comprehensive understanding of vector databases and their potential in modern machine learning applications.