Build an AI app in 5 steps
What you'll learn
Tired of slow AI apps, expensive LLM calls, and managing memory from scratch?
Redis for AI helps developers build blazing-fast, intelligent apps with faster and easier than ever. You’ll learn how to build an AI-powered app using Redis—step by step using:
• LLM memory with Redis vector database: Store and retrieve vector embeddings faster to power memory for your LLMs.
• Semantic caching: Cache AI responses based on meaning, not just keywords.
• Agentic Memory: Retain context and knowledge across sessions to make AI agents smarter.
• Rate Limiting: Protect your infrastructure with intelligent usage controls.
• Feature stores for ML pipelines: Deliver real-time features to your ML models without complexity.
Key highlights:
Add Fast LLM Memory with Redis Vector Database
Speed up responses with semantic caching
Add Agentic Memory for smarter, adaptive agents
Keep your app safe with AI-aware rate limiting
Scale ML pipelines with Redis feature store
Deploy fast or fall behind
Redis gives you the tools and insights to help you build smarter, manage better, and scale faster. Grab the solution brief and start building today.