May 08, 2026
Weaviate is built from the ground up to support the new generation of AI-native applications. It combines a vector search engine with a traditional database, allowing you to perform semantic searches alongside standard keyword filtering.
Weaviate isn't just for text. It supports vectorizing and searching across images, video, and audio, making it an ideal choice for building multi-modal search engines and recommendation systems that need to handle diverse data types.
The platform includes a rich set of modules for vectorization (using OpenAI, Hugging Face, or Cohere), question-answering, and generative search. This modularity allows developers to build complex AI pipelines directly within the database layer, simplifying the overall system architecture.