Local-First Vectors: How to Build Privacy-Preserving AI Apps without the Cloud

The Missing Piece for On-Device AI The world of AI is moving to the edge. With the rise of on-device models like Transformers.js, Gemma, and Phind, we are closer than ever to a truly "dark" application architecture—one where zero data leaves the user's device. However, there’s a paradox: while we have the models running on-device, we are still sending our sensitive data to cloud-based vector databases like Pinecone or Weaviate to perform similarity searches. I wanted to solve this paradox....