rag-llm-gitops/pattern-metadata.yaml at main · validatedpatterns/rag-llm-gitops · GitHub

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# This goal of this metadata is mainly used as a source of truth for
# documentation and qe.
metadata_version: "1.0"
name: rag-llm-gitops
pattern_version: "1.0"
description: Deploy a RAG chatbot application on OpenShift that augments LLM responses with enterprise documentation stored in a vector database, using a GitOps framework
display_name: AI Generation with LLM and RAG
repo_url: https://github.com/validatedpatterns/rag-llm-gitops
docs_repo_url: https://github.com/validatedpatterns/docs
issues_url: https://github.com/validatedpatterns/rag-llm-gitops/issues
docs_url: https://validatedpatterns.io/patterns/rag-llm-gitops/
ci_url: https://validatedpatterns.io/ci/?pattern=ragllm
# can be sandbox, tested or maintained
tier: tested
owners: day0hero, sauagarwa
requirements:
  hub: # Main cluster
    compute:
      platform:
        aws:
          replicas: 3
          type: m5.2xlarge
    controlPlane:
      platform:
        aws:
          replicas: 1
          type: m5.2xlarge

# Loosely defined extra features like hypershift support, non-openshift
# kubernetes support, spoke support
extra_features:
  hypershift_support: false
  spoke_support: false

external_requirements:
  # This gets added as a note in the cluster sizing doc page
  cluster_sizing_note: >
    This pattern will require nodes with GPUs which are only supported in
    certain regions. You can create them before deploying the pattern via the
    special `make create-gpu-machineset` command, after the initial cluster has
    been created.
# external quay, s3 bucket, agof tokens to access paywalled material, manifests, rag-llm hw (only selected regions)