Building Foundry: AI isn’t replacing creativity, it’s removing friction | Weaviate

What this post added

Introduces the application of semantic search and vector databases to creative asset management. Explains the process of converting media into vector embeddings using ML models and how vector search enables retrieval by meaning. Highlights the importance of metadata alongside embeddings and the role of vector databases. Discusses the ingestion layer challenges and previews a future implementation.