Conceptual Redis Deep Dive: From Cache to AI Memory
Part 7: "Semantic Discovery" — Vector Embeddings and HNSW Graphs
Keyword search is failing. We introduce Redis Stack and RediSearch to build a "Find Similar Products" feature. We dive deep into vector embeddings, distance metrics (L2, Cosine), and how the Hierarchical Navigable Small World (HNSW) algorithm achieves logarithmic search times.