Get more accurate responses using retrieval-augmented generation (RAG) to ground responses from LLMs faster. Our vector database provides the fastest responses on the market and integrates with a wide variety of ecosystem partners like LangChain and LlamaIndex.
Semantic caching stores the semantic meaning of calls to LLMs, so apps can answer frequently asked questions more quickly. This makes responses 15x faster, and reduces costly LLM calls by more than 30%.
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cost from LLMs
than complete RAG cycles
LLMs cover a lot of data but don’t retain recent history, so interactions can sometimes be awkward. Our LLM memory support uses the record of all previous interactions between an LLM and a specific user—across different user sessions—to deliver personalized GenAI experiences.
As GenAI systems get more complex, they can use multiple agents, data retrievals, and LLM calls to complete tasks. But every step adds lag. Our fast, scalable data infrastructure supports a range of AI agents, so you get high-performing AI apps to production faster.
We store ML features for fast data retrieval that powers timely predictions and improves ROI. Our feature store connects seamlessly with offline feature stores like Tecton and Feast, and we deliver the scale companies need to support instant operations worldwide.
“We’re using Redis Cloud for everything persistent in OpenGPTs, including as a vector store for retrieval and a database to store messages and agent configurations. The fact that you can do all of those in one database from Redis is really appealing.” 
Harrison Chase
Co-Founder and CEO
“It’s really, really fast—with sub-millisecond performance. Plus it’s a lot cheaper.”
Daniel Galinkin
Head of Machine Learning Engineering,
“We are very happy with Redis because it allows us to do a better job faster and more reliably…It is a fast, high-performance vector database—and Redis is a wonderful partner.”
Taqi Jaffri
Co-founder and Head of Product
“Our real-time recommender infrastructure needs to search and update vector embeddings in milliseconds to deliver a blazing fast experience for our marketplace, e-commerce, and social customers. We benchmarked all the leading vector databases on the market, and Redis Cloud came out on top.”
Daniel Svonava
Co-founder
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