Production-ready Redis integration for caching, sessions, rate limiting, pub/sub, and AI embedding cache with multi-framework support
/plugin marketplace add vanman2024/ai-dev-marketplace
/plugin install redis@vanman2024/ai-dev-marketplace
Add simple queue implementation
Generate test suite
Add pub/sub messaging for real-time features
Add caching layer with strategy selection
Configure Redis Cluster
Configure connection pooling
Add monitoring and metrics
Add RAG (Retrieval-Augmented Generation) pipeline with Google Gemini File API and Redis caching
Add rate limiting for APIs
Add RedisVL (Redis Vector Library) integration for vector similarity search with HNSW
Add AI query result caching with semantic similarity
Configure Redis Sentinel for HA
Add session management with Redis
Add AI embedding cache for cost optimization
Add vector search capabilities with KNN, range queries, and metadata filtering
Create vector index with FLAT or HNSW algorithm for similarity search
Production deployment
Initialize Redis in project with framework detection
Configure as Celery broker/backend
Integrate with Express
Integrate with FastAPI
Integrate LangChain vector store and memory with Redis
Integrate LlamaIndex VectorStoreIndex and query engines with Redis
Integrate with Next.js
Migrate your code and prompts from Sonnet 4.x and Opus 4.1 to Opus 4.5.
Frontend design skill for UI/UX implementation
Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
Easily create hooks to prevent unwanted behaviors by analyzing conversation patterns