Qdrant

apiVersion: leaf/v1
kind: Template
metadata:
  name: qdrant
  displayName: 'Qdrant'
  description: 'A vector database for embeddings and similarity search. Internal-only.'
  icon: https://github.com/qdrant.png?size=256
  version: '1.0.0'
  category: database
  tags: ['vectors', 'ai', 'search']
  keywords: ['pinecone', 'weaviate', 'pgvector', 'embeddings', 'rag']
  homepage: https://qdrant.tech
  license: Apache-2.0

parameters:
  - name: appName
    displayName: 'App Name'
    type: string
    default: 'qdrant'
    required: true
    validation:
      pattern: '^[a-z][a-z0-9-]{1,58}[a-z0-9]$'
      message: 'Must be lowercase alphanumeric with hyphens, 3-60 chars'
  - name: apiKey
    displayName: 'API key'
    description: 'Generated if left empty'
    type: secret
    validation:
      min: 32
  - name: storage
    displayName: 'Storage'
    description: 'Volume for collections'
    type: string
    default: '10Gi'

resources:
  - name: app
    type: deployment
    config:
      name: '{{ params.appName }}'
      image: qdrant/qdrant:latest
      replicas: 1
      ports:
        - name: http
          containerPort: 6333
          servicePort: 6333
          protocol: TCP
        - name: grpc
          containerPort: 6334
          servicePort: 6334
          protocol: TCP
      volumes:
        - name: storage
          type: pvc
          mountPath: /qdrant/storage
          storageSize: '{{ params.storage }}'
      env:
        - key: QDRANT__SERVICE__API_KEY
          value: '{{ params.apiKey }}'
          secret: true
        - key: QDRANT__TELEMETRY_DISABLED
          value: 'true'