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SOLUTIONS

Redis for vector database

Vector Search Database
Deliver the best GenAI app experiences
Vector Search Database

How it works

Productivity
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
AI Tools
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.

Recommendation
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

  • LangChain
  • Docugami
  • Superlinked

“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 ChaseCo-Founder and CEO, LangChain

Watch our vector database webinars

Cloud

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.

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Caching

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.

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LLM memory

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.

Watch now

Learn more about Redis vector database on our docs site

See even more Redis solutions

Caching

Learn how the world’s fastest in-memory database can help your team build faster apps fast.

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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.

Learn more

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