What are multi-vector embeddings? How do they differ from regular embeddings? And how can you build an AI-powered OCR system in under 5 minutes without paying a fortune for infrastructure? If you're curious for answers, join me! I'll break down ColBERT embeddings, explore how MUVERA compression is revolutionizing the way we work with multi-vectors, and show you how to leverage it all to build an AI-powered OCR system on resource constrained devices such as Raspberry Pi.

Weaviate DB: https://github.com/weaviate/weaviate Multi-Vector vision embeddings demo: https://github.com/antas-marcin/weaviate-multi-vector-example