Why Weaviate?

Before diving into the technical aspects of Weaviate, it's important to understand a few key concepts. Vectors are mathematical representations of data, and in Weaviate, data is stored as vectors to enable similarity searches. Vector search is a method of retrieving results based on the semantic similarity of vectors. Weaviate also supports hybrid search, which combines traditional keyword search with vector search to provide more comprehensive results. Interactions with Weaviate are done through a GraphQL API, an intuitive query language that allows you to perform complex queries and retrieve specific data.