Creating an Art Recommender from the Ground Up Using CLIP and ChromaDB
A guide to turning art images into CLIP embeddings and storing them in ChromaDB for semantic similarity search in a recommender system.
vector database
Learn to Build a Vector Database from Zero in 10 Simple Steps
A step-by-step Python guide to vector databases, covering embeddings, cosine search, metadata filtering, ranking, and indexing trade-offs.