Weaviate is an open-source vector database that allows you to store and retrieve data objects based on their semantic properties by indexing them with vectors. It can be used stand-alone or with a variety of modules that can do the vectorization for you and extend the core capabilities. Weaviate provides a lightning-fast pure vector similarity search over raw vectors or data objects, even with filters. It combines keyword-based search with vector search techniques for state-of-the-art results. You can also use any generative model in combination with your data, for example to do Q&A over your dataset. Weaviate's next-gen vector database can power a wide range of innovative apps.