“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.”
Redis for vector database
How it works
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.
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.
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
Watch our vector database webinars
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.
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.
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
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