Building a Local SQLite Vector Database for Multi-Modal Image Search

Build a SQLite vector database for image search using embedding representations and cosine similarity. Learn to create a multi-modal image search system with the latest text embeddings. Explore techniques for parallel processing of GPT Vision descriptions for 500 images, generating embeddings efficiently, and implementing both terminal and web-based image search interfaces. Gain hands-on experience with SQLite, OpenAI API, GPT-4 Vision, and vector operations in Python to create a powerful image retrieval system.