redis / redis

This document serves as both a quick start guide to Redis and a detailed resource for building it from source.
- New to Redis? Start with What is Redis and Getting Started
- Ready to build from source? Jump to Build Redis from Source
- Want to contribute? See the Code contributions section
 and CONTRIBUTING.md
- Looking for detailed documentation? Navigate to redis.io/docs
## Table of contents
- What is Redis?
 - Key use cases
- Why choose Redis?
- What is Redis Open Source?
- Getting started
 - Redis starter projects
 - Using Redis with client libraries
 - Using Redis with redis-cli
 - Using Redis with Redis Insight
- Redis data types, processing engines, and capabilities
- Cloud hosted Redis
- Community
- Build Redis from source
 - Install dependencies and build
 - Building Redis - flags and general notes
 - Fixing build problems with dependencies or cached build options
 - Fixing problems building 32 bit binaries
 - Allocator
 - Monotonic clock
 - Verbose build
 - Running Redis with TLS
- Code contributions
- Redis Trademarks
## What is Redis?
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
### Key use cases
Redis excels in various applications, including:
- **Caching:** Supports multiple eviction policies, key expiration, and hash-field expiration.
- **Distributed Session Store:** Offers flexible session data modeling (string, JSON, hash).
- **Data Structure Server:** Provides low-level data structures (strings, lists, sets, hashes, sorted sets, JSON, etc.) with high-level semantics (counters, queues, leaderboards, rate limiters) and supports transactions & scripting.
- **NoSQL Data Store:** Key-value, document, and time series data storage.
- **Search and Query Engine:** Indexing for hash/JSON documents, supporting vector search, full-text search, geospatial queries, ranking, and aggregations via Redis Search.
- **Event Store & Message Broker:** Implements queues (lists), priority queues (sorted sets), event deduplication (sets), streams, and pub/sub with probabilistic stream processing capabilities.
- **Vector Store for GenAI:** Integrates with AI applications (e.g. LangGraph, mem0) for short-term memory, long-term memory, LLM response caching (semantic caching), and retrieval augmented generation (RAG).
- **Real-Time Analytics:** Powers personalization, recommendations, fraud detection, and risk assessment.
## Why choose Redis?
Redis is a popular choice for developers worldwide due to its combination of speed, flexibility, and rich feature set. Here's why people choose Redis for:
- **Performance:** Because Redis keeps data primarily in memory and uses efficient data structures, it achieves extremely low latency (often sub-millisecond) for both read and write operations. This makes it ideal for applications demanding real-time responsiveness.
- **Flexibility:** Redis isn't just a key-value store, it