redis-development

Redis performance optimization across data structures, query engines, vector search, and semantic caching. Comprehensive performance optimization guide for Redis, including Redis Query Engine, vector search, and semantic caching. Contains 29 rules across 11 categories, prioritized by impact to guide automated optimization and code generation. Reference these guidelines when: Read individual rule files for detailed explanations and code examples: Each rule file contains: For the complete guide with all rules expanded: AGENTS.md - Covers 29 prioritized rules across 11 categories including data modeling, memory management, Redis Query Engine (RQE), vector search with RedisVL, and LangCache semantic caching - Provides structured guidance for connection pooling, JSON document handling, streams, clustering, security (ACLs), and observability - Each rule includes explanations, correct examples, anti-patterns or usage guidance, and additional context for implementation - Organized by impact level (HIGH/MEDIUM) to help prioritize optimization efforts in automated code generation and performance tuning - Designing Redis data models and key structures - Implementing caching, sessions, or real-time features - Using Redis Query Engine (FT.CREATE, FT.SEARCH, FT.AGGREGATE) - Building vector search or RAG applications with RedisVL - Implementing semantic caching with LangCache - Optimizing...