Redis

Build AI apps with more speed, memory, and accuracy.

Freemium

Description

Redis is a widely recognized open-source, in-memory data structure store utilized globally for its speed and efficiency. It functions versatilely as a database, cache, streaming engine, and message broker. Recently, Redis has significantly enhanced its capabilities for Artificial Intelligence, positioning itself as a fast memory layer for chatbots and AI agents. It offers ready-to-use tools including a vector database, AI agent memory solutions, semantic search capabilities, and semantic caching (Redis LangCache) to lower latency and LLM costs.

Supporting various modern data structures like vector sets and JSON, Redis ensures high availability with features like Active-Active Geo Distribution for up to 99.999% uptime and automatic failover. It facilitates seamless data synchronization from existing databases via Redis Data Integration and offers flexible deployment options across cloud platforms (AWS, Azure, Google Cloud), on-premises, or hybrid environments. Developers can interact with Redis using numerous client libraries for popular programming languages and visualize data using the free Redis Insight GUI.

Key Features

Vector Database: Enables building fast and reliable GenAI apps.
AI Agent Memory: Serves as a fast memory layer for chatbots and AI agents.
Semantic Search: Provides tools for implementing semantic search in AI applications.
Caching: Offers high-speed caching, including specialized semantic caching for LLMs (Redis LangCache).
Redis Insight: Free graphical user interface for development, debugging, and data visualization.
Multiple Modern Data Structures: Supports 18 data structures including vector sets, JSON, Time Series, and Probabilistic.
Active-Active Geo Distribution: Delivers up to 99.999% uptime and local sub-millisecond latency.
Automatic Failover: Ensures high availability by seamlessly switching to a replica.
Flexible Deployment: Run Redis anywhere—cloud (AWS, Azure, GCP), on-prem, or hybrid.
Redis Data Integration (RDI): Synchronizes data in near-real time from existing databases.
Clustering: Automatically splits data across multiple nodes for improved uptime and scalability.
Redis Query Engine: Allows running powerful data queries and search in real-time.