Unless you’ve been off the grid the past two years, you’ve likely come across the term “vector database” in conversations about GenAI. I joined Redis in 2022, pre-ChatGPT, when vectors ...
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Blog
OCT.28.2024
Faster Redis: Client library support for client-side caching
Getting faster than Redis isn’t easy, but starting today, you can read your most frequently accessed data, cut down on latency, and use resources more efficiently. Today, we’re proud to ...
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Blog
SEP.10.2024
Hash field expiration – Architecture and Benchmarks
Hash Field Expiration (HFE) is an exciting new feature introduced in Redis Community Edition and Stack 7.4, and is one of the most requested enhancements since the early days of Redis (s...
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Blog
JUN.20.2024
Benchmarking results for vector databases
At Redis, we’re fast. To show how fast we are, we benchmarked the top providers in the market for vector databases using our new Redis Query Engine, now GA for Redis Software. This featu...
Redis has always been built for speed. Our mission is to provide the fastest data and AI infrastructure available for enterprises at scale. Our latest enhancement to our Redis Query Engi...
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Blog
JUN.13.2024
Using Redis for real-time RAG goes beyond a Vector Database
Why does RAG need real-time data? We’re seeing Retrieval Augmented Generation (RAG) become the de facto standard architecture for GenAI applications that require access to private data....