Weaviate: The AI-native database for a new generation of software

Summary

Weaviate is introduced as an AI-native database designed to efficiently store and search vector embeddings, enabling advanced semantic search and retrieval for modern AI applications. Its architecture supports scalable, real-time data processing, making it well-suited for powering next-generation software that relies on machine learning and natural language understanding. This highlights a growing trend in the AI field toward specialized infrastructure to handle the unique demands of AI-driven workloads.