Redis for AI
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  • Redis for AI
  • Products
    • Redis Cloud

      Fully managed and integrated with Google Cloud, Azure, and AWS.

    • Redis for AI

      Build the fastest, most reliable GenAI apps with our advanced vector database.

    • Redis Software

      Self-managed software with enterprise-grade compliance and reliability.

    • Redis Data Integration (RDI)

      Synchronize data in near-real time to make data fast—without writing code.

    • Redis Open Source

      In-memory database for caching & streaming.

    Tools

    • Redis Insight
    • Clients and connectors

    Get Redis

    Downloads
  • Resources
    • Customer Stories
    • Partners
    • Support
    • Community
    • Events & Webinars
    • Professional Services

    Learn

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    • Commands
    • Quick starts
    • Tutorials
    • University
    • Knowledge Base
    • Resources
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    See how it works

    Visit Demo Center
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  • CPU: A minimum of 4 CPU cores. You should consider adding 2-6 extra cores on top of this if your dataset is big and you want to ingest the baseline snapshot as fast as possible.
  • RAM: 8GB
  • Disk: On top of the OS footprint, RDI requires 20GB in the /var folder and 1GB in the /opt folder (to store the log files). This allows space for upgrades.
  • Network interface: 10GB or more.
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Vector database Feature storesSemantic cache CachingNoSQL database Leaderboards Data deduplication Messaging Authentication token storage Fast-data ingest Query caching All solutions

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