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SOLUTIONS

Redis for vector database

Deliver the best GenAI app experiences

How it works

Get superior speed and throughput

Deliver fast responses that go beyond predictive analytics to create new experiences with GenAI in real-time, including chatbots that offer personalized support. We support retrieval-augmented generation (RAG) workflows and similarity searches to deliver answers quickly, and provide the fastest performance across all leading vector databases that we benchmark.

Read our benchmark report

Integrate with more data and AI tools

Get rich support for integrations and diverse data types to bring AI apps to production faster. Move quickly with a database that works with your existing tech stack and the latest GenAI tools and frameworks. Whether you’re in the cloud, on prem, or using a hybrid environment, build resilient apps and move at the speed of innovation.

Trusted by the world’s largest organizations

58% of Fortune 50 companies trust our global scale and enterprise power. Built on our real-time platform, our vector database lets you scale apps worldwide and deliver the fastest experiences with sub-millisecond latency and 99.999% uptime. Optimize your data infrastructure at any scale with multi-tenancy, Redis Flex, and built-in durability.

Faster brands use our vector database

“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, LangChain

“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, Docugami

“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, Superlinked

Read more customer stories

Watch our vector database webinars

Webinar

May.16.2024

Scale your LLM Apps to Production with Redis and Google Cloud

Design systems that perform and scale to meet increasing demands using Redis as an in-memory vector database and Google Cloud Vertex AI platform.

Webinar

Apr.24.2024

Agentic RAG: Semantic caching with Redis and LlamaIndex

With Redis and LlamaIndex, customers can build faster, more accurate chatbots at scale while optimizing cost. Join this session to learn the latest best practices.

Webinar

Feb.27.2024

The Future of RAG: Exploring Advanced LLM Architectures with LangChain and Redis

See LangChain’s role in facilitating RAG-based applications, advanced agent orchestration techniques, and the critical role of Redis Enterprise in real-time applications.

Learn more about Redis vector database on our docs site

See even more Redis solutions

Caching

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Redis Insight

Get our free interface for analyzing data across all operating systems and deployments.

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Feature store

Explore how we support faster, more accurate machine learning predictions at scale.

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