✅ LightRAG deployment successful!

1. Wait for all pods to be ready:
  kubectl wait --namespace {{ .Release.Namespace }} --for=condition=ready pod -l app.kubernetes.io/name=postgresql --timeout=120s
  kubectl wait --namespace {{ .Release.Namespace }} --for=condition=ready pod -l app.kubernetes.io/name={{ include "lightrag-minimal.name" . }} --timeout=120s

2. Access your application:
{{- if .Values.ingress.enabled }}
{{- range $host := .Values.ingress.hosts }}
  {{- range .paths }}
  🌐 Web UI: http{{ if $.Values.ingress.tls }}s{{ end }}://{{ $host.host }}{{ .path }}webui
  📚 API Docs: http{{ if $.Values.ingress.tls }}s{{ end }}://{{ $host.host }}{{ .path }}docs
  {{- end }}
{{- end }}
{{- else }}
  # Start port forwarding (run in background):
  kubectl port-forward --namespace {{ .Release.Namespace }} svc/{{ include "lightrag-minimal.fullname" . }} 9621:9621 &

  🌐 Web UI: http://localhost:9621/webui
  📚 API Docs: http://localhost:9621/docs
  🔍 Health Check: http://localhost:9621/health
{{- end }}

3. Verify deployment health:
  curl http://localhost:9621/health
  # Expected: {"status": "healthy", "configuration": {...}}

4. Load your documents:
  # Install httpx if needed: pip install httpx

  # Files mode (file path references) - Default
  python ../../../load_docs.py /path/to/your/docs --endpoint http://localhost:9621

  # URLs mode (website URL references) - Recommended for public docs
  # Note: Local file structure must match your docs site URL structure
  python ../../../load_docs.py /path/to/docs --mode urls \
    --base-url https://docs.example.com/ --endpoint http://localhost:9621

5. Monitor your deployment:
  # Check pods status
  kubectl get pods --namespace {{ .Release.Namespace }}

  # View logs
  kubectl logs --namespace {{ .Release.Namespace }} -l app.kubernetes.io/name={{ include "lightrag-minimal.name" . }} -f

Configuration Summary:
🗄️  Storage: PostgreSQL with pgvector + NetworkX graph storage
🔒 Persistence: {{ if .Values.persistence.ragStorage.enabled }}Enabled{{ else }}Disabled{{ end }} ({{ .Values.persistence.ragStorage.size }} storage)
💻 Resources: {{ .Values.resources.limits.cpu }} CPU, {{ .Values.resources.limits.memory }} memory
🐘 PostgreSQL: pgvector/pgvector:pg16 with {{ .Values.postgresql.primary.persistence.size }} storage
🤖 LLM Model: {{ .Values.env.LLM_MODEL }}
📊 Concurrency: MAX_ASYNC={{ .Values.env.MAX_ASYNC }}, MAX_PARALLEL_INSERT={{ .Values.env.MAX_PARALLEL_INSERT }}

📖 For detailed usage instructions, see the README.md in the chart directory.