voyageai-cli/src/workflows/enrich-and-ingest.json

CLI for Voyage AI embeddings, reranking, and MongoDB Atlas Vector Search

{
  "name": "enrich-and-ingest",
  "description": "Fetch external metadata, enrich document, then ingest",
  "version": "1.0.0",
  "branding": {
    "icon": "database",
    "color": "#15803D"
  },
  "inputs": {
    "document_url": { "type": "string", "required": true, "description": "URL to fetch document metadata from" },
    "text": { "type": "string", "required": true, "description": "Document text to ingest" }
  },
  "steps": [
    {
      "id": "fetch_metadata",
      "tool": "http",
      "name": "Fetch document metadata",
      "inputs": {
        "url": "{{ inputs.document_url }}",
        "method": "GET",
        "timeout": 5000
      }
    },
    {
      "id": "store",
      "tool": "ingest",
      "name": "Ingest with metadata",
      "inputs": {
        "text": "{{ inputs.text }}",
        "source": "{{ fetch_metadata.output.body.title }}",
        "metadata": {
          "author": "{{ fetch_metadata.output.body.author }}",
          "category": "{{ fetch_metadata.output.body.category }}",
          "fetchedAt": "{{ fetch_metadata.output.body.timestamp }}"
        }
      }
    },
    {
      "id": "notify",
      "tool": "http",
      "name": "Notify webhook",
      "inputs": {
        "url": "https://hooks.slack.com/services/T00/B00/xxx",
        "method": "POST",
        "body": {
          "text": "Ingested document — {{ store.output.chunks }} chunks"
        }
      },
      "continueOnError": true
    }
  ],
  "output": {
    "source": "{{ fetch_metadata.output.body.title }}",
    "chunks": "{{ store.output.chunks }}"
  }
}