Redis Announces a Plethora of AI Capabilities to ‘Help Developers Build Fast Apps – Fast’

Redis announced it is “at the start of Redis’ second act—a new era of fast, where Redis is an essential part of the new stack for AI.”

The new introduced products and capabilities include:

• Redis for AI — A package of capabilities that gives companies foundational infrastructure for building and deploying AI apps. 
• Redis Flex — By integrating the company’s Speedb acquisition, it lowers costs by 80%.
• Redis 8 — This fast, flexible, and free foundation is the evolution of 15 years of work.
• Redis Copilot — A new AI assistant for Redis helps users build faster on Redis.
• Redis Data Integration — Coming soon to Redis Cloud, customers can speed up existing databases with automated data pipelines.

Redis for AI is an integrated package of all Redis’ AI capabilities and support needed to bring GenAI apps into production. 

Developers can use Redis for AI for:

• RAG with the world’s fastest vector database: Real-time architecture for GenAI apps
• Semantic caching: Retrieve stored answers fast and save >30% on costly LLM calls
• LLM memory: Personalize user sessions with all the data LLM needs at the right time
• Agentic memory: Make agents faster for more complex reasoning and better answers
• Feature store: Get predictions in less than 1 millisecond for production ML models 

It includes recipes, reference architectures, the new RedisVL 0.3.0, and new dedicated partner packages langchain-redis and llama-index-vector-stores-redis.

Redis for AI offers the same flexibility Redis has always been known for, supporting several different data types, and working across cloud, on-prem, and hybrid environments. Our dedicated support lets you work with experts who have implemented Redis for AI at some of the largest companies in the world.

Previously, Redis Auto Tiering was only available for large caches and developers wanted to use Redis in more places but had to keep caches small because of cost, according to the company. Now users can get 5 GB of cache for the same price as 1 GB, for all cache sizes down to 1 GB with Redis Cloud Essentials.

With the acquisition of Speedb this year, the company can ‌reduce the cost for caches of all sizes.

Redis Flex is designed to run on DRAM and SSDs, which makes it faster and cheaper than other memory solutions like ElastiCache, Memorystore, and even Community Edition, according to the company.

Redis Stack has become the go-to way for users to get started with Redis, and now all the features of Redis Stack are integrated into Redis Community Edition.

Redis 8 helps users start faster with everything from Redis 7.4 CE and Redis Stack 7.4:

• Store, update, and retrieve JSON data — Directly query JSON data to enable fast, responsive operations and dynamic interactions.
• Build smarter, faster GenAI apps with vector database – Harness the world’s fastest vector database. The enhanced Redis Query Engine boosts previous Redis query throughput 16X, making Redis faster than any other vector database we benchmarked.
• Search and query your data — Find, filter, aggregate, and sort through millions of records quickly to transform your data into action.
• Optimize time series data — Efficiently collect, store, and analyze time series data with high throughput and minimal latency, enabling real-time insights and analytics.
• Process streams and large data sets — Extremely fast approximation of counts, frequencies, and rankings with Redis probabilistic data structures.

To help make developers more efficient, Redis built Redis Copilot, a virtual assistant for all things Redis. Copilot is free and is now generally available inside Redis Insight. Redis is also releasing a Redis supported Visual Studio Code extension so customers can build with Redis easily in their IDE.
Redis Copilot helps:  

• Retrieve information from docs faster
• Automatically write code 
• Ask questions about your data 

Redis Copilot leverages the Redis real-time data platform and Redis for AI with capabilities like semantic caching, vector database, and rate limiting so that you get fast and accurate responses.

Redis recently announced Redis Data Integration, which accelerates apps and provides data federation without needing to redesign the entire data strategy. RDI is now private preview on Redis Cloud and GA on Redis Software. 

Using automated data pipelines, RDI synchronizes data in existing databases with Redis with minimal setup. RDI provides the connection through a single API, so you can simplify development, and make your data more reliable.

For more information about these updates, visit https://redis.io.