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RAG AI workflow

    • 1. Introduction
      • 1.1 Use cases
      • 1.2 The story behind this solution pattern
      • 1.3 The solution
    • 2. Architecture
      • 2.1. Common Challenges
      • 2.2. Technology stack
      • 2.3. An in-depth look at the solution’s architecture
      • 2.4. More about the technology stack
    • 3. See the Solution in Action
      • 3.1. Demonstration
      • 3.2. Run this demonstration
        • 3.3. Pre-requisites
        • 3.4. Installing the demo
        • 3.5. Walkthrough guide
    • 4. Workshop
      • 4.1. Installing the workshop environment
        • 4.2. Pre-requisites
        • 4.3. Installing the environment
      • 4.4. Delivering the workshop
    • 5. Developer Resources
    • Explore Red Hat Solution Patterns
RAG AI workflow master
  • RAG AI workflow
    • master
  • RAG AI workflow
  • 5. Developer Resources
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Summarization with Retreival Augmented Generation (RAG) AI workflow

Developer Resources

1. Deployment

  • The git repo of the source code is a great starting point to get this example installed and deployed on Openshift

2. Further reading

  • A blog post related to running vector databases on Red Hat Openshift

4. Workshop
Cloud Native Architecture Solution Patterns