Redis Vector Search Guidance for storing and searching embeddings in Redis. Covers index configuration, algorithm selection, hybrid filtering, and the RAG retrieval pattern with RedisVL. When to apply - Defining a field in (raw RQE) or a RedisVL . - Choosing HNSW vs FLAT and tuning HNSW parameters. - Adding category, date, or tenant filters to a vector query. - Building a retrieval-augmented generation (RAG) pipeline on top of Redis. This skill builds on the skill — vector fields live inside RQE indexes and share the same / machinery. 1. Configure the vector index properly Three settings must…