Weaviate: The Open-Source AI-Native Vector Database
Weaviate is a vector database that allows you to store and query data objects and vector embeddings seamlessly.
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.
Multi-Modal Capabilities
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.
Flexible Modules
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.