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Redis

Real-Time Fraud Detection: Latency, Features & Scale Context window in AI: why every token is a budget decision Connecting to Redis Cloud with AWS PrivateLink vs. VPC peering | Redis Redis Data Integration in Redis Cloud is now GA in AWS | Redis Why AI Misses Business Context & How Teams Fix It AI Reasoning Explained: Why Context Matters Semantic Layer vs Context Layer: Key Differences Redis array data type: How it works and when to use it Context Graphs vs. Vector Search: When RAG Falls Short What’s new in two – May 2026 edition Redis 8.8 performance improvements: Faster string, hash, streams, SCAN & more Redis 8.8: New array data structure & open source features How Conflict-free Replicated Data Types power active-active database replication Context Orchestration: What It Is & How It Works Context Compaction for AI Agents: A Complete Guide Prompt Bloat: Causes, Costs & Fixes for LLM Apps Agentic Retrieval Techniques: A Complete Guide Single-shot reliable consumers with XREADGROUP CLAIM in Redis 8.4 | Redis Long-Horizon AI Agents: Memory & State Infrastructure What is a context engine? What Is a Context Layer? AI Agent Infrastructure Context Retrieval for AI Agents: What It Is & Why It Matters Context Poisoning: How Bad Data Breaks Agent Reasoning Context is all you need: Introducing Redis Iris | Redis Context Engineering for AI: What It Is & How to Build It Dynamic endpoints: Migrate databases without changing your endpoint | Redis AI Shopping Assistants: How They Work & What to Build Endless Aisle Retail: Infrastructure & Real-Time Data LLM Speed Benchmarks: Metrics & Infrastructure Guide Context Pruning: Cut LLM Tokens Without Losing Quality
Throughput-optimizing Redis for L2 KV Cache Reuse
Samuel Shen, · 2026-03-30 · via Redis
In July, we added Redis to LMCache's southbound tree: Get faster LLM inference and cheaper responses with LMCache and Redis | Redis We're back to discuss a series of optimizations that we've done in the last few months and what lies ahead for Redis a...