Document Intelligence Pipeline

The Operational Bottleneck

Financial, procurement, and HR teams hemorrhage operational hours manually extracting data from unstructured PDFs, Purchase Orders, and transactional emails. This reliance on human data entry introduces critical structural errors into ERP staging layers.

The Architectural Solution

A mission-critical ingestion pipeline that captures unstructured files asynchronously. It extracts raw binary text and applies deterministic JSON schema validation using Google Gemini to guarantee data integrity before populating corporate databases.

Execution Sequence

• Trigger Capture: Asynchronous Gmail polling routes targeted payloads into the n8n environment.
• Binary Parsing: JavaScript decoders isolate and extract PDF attachments into machine-readable text arrays.
• LLM Extraction: LangChain Google Gemini agents map unstructured text to strict key-value pairs.
• Schema Enforcement: Automated JSON logic drops any payload failing numeric or categorical validation parameters.
• Ledger Synchronization: Validated payloads are written directly to Google Sheets and API-linked ERPs.

Core Logic Definition

"node": "Google Gemini Extraction Agent",
"parameters": {
  "promptType": "define",
  "systemMessage": "Extract structured PO data. Return ONLY valid JSON.",
  "schema": {
    "is_purchase_order": true,
    "confidence_interval": 0.98,
    "po_number": "PO-10458",
    "total_amount": 1125.00
  }
}

Expected Telemetry