Introduction to Redis as a Vector Database
The lesson explains how Redis with the RediSearch extension provides sub-millisecond storage and querying of high-dimensional embeddings, supporting FLAT and HNSW indexing with hybrid metadata filtering for semantic search, recommendations, and RAG patterns, and discusses when it makes sense to use Redis as a vector search engine.
