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Redis

In-memory data store company. Redis Cloud for caching, session management, rate limiting, and real-time features. Standard infrastructure for AI application performance optimization.

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📋About Redis

Updated August 26, 2026

Redis is the company behind the world's most popular in-memory data store, used by millions of developers for caching, session management, real-time analytics, and message brokering. Originally created as an open-source project by Salvatore Sanfilippo, Redis the company (formerly Redis Labs) provides Redis Cloud and enterprise support.

Redis has expanded into AI infrastructure with Redis Vector Search, enabling vector similarity search directly within the Redis data store. This allows developers to build RAG (retrieval-augmented generation) applications, semantic caching of LLM responses, and real-time recommendation systems using the Redis instance they already operate — without adding a separate vector database. Redis's in-memory architecture provides extremely low-latency vector search, critical for real-time AI applications.

Redis's ubiquity in application infrastructure gives it a unique distribution advantage in the AI era. Rather than asking developers to adopt a new specialized database, Redis adds AI capabilities to technology that already powers millions of applications. Redis is also essential for AI application performance optimization through intelligent caching of API responses, rate limiting for AI service calls, and real-time feature serving for ML models.

🛠️Products & Tools (1)

Redis Vector SearchVector Databases & RAG

In-memory vector similarity search built into Redis. Ultra-low-latency semantic search, LLM response caching, and real-time recommendations using the world's most popular data store.

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