Exploring the Versatility and Modularity of Weaviate

In this chapter, the hosts discuss their experience using the Weaviate vector search engine and highlight its versatility and modularity in switching out components like embedding models and indexes. They emphasize the system's scalability, pre-search filtering, and advantages in knowledge graph embeddings and the text space, as well as its optimization in machine learning infrastructure.