doclayer

n8n community node for Doclayer - AI-powered document processing, extraction, and search

Package Information

Downloads: 2 weekly / 15 monthly
Latest Version: 0.1.0
Author: Doclayer

Available Nodes

Doclayer icon
Doclayer
AI-powered document processing, extraction, and search

Documentation

n8n-nodes-doclayer

npm version
License: MIT

This is an n8n community node for Doclayer - an AI-powered document processing, extraction, and search platform.

n8n is a fair-code licensed workflow automation platform.

Features

  • 📄 Document Management - List, retrieve, and delete documents
  • 📤 Document Ingestion - Upload documents with optional AI agent processing
  • 🔍 Semantic Search - Vector, graph, and table search capabilities
  • 📁 Project Management - Create and manage document projects
  • 🤖 Agent Templates - Browse and use pre-built extraction agents
  • ⚡ Workflow Monitoring - Track and manage processing workflows
  • 💰 Billing & Usage - Track costs, usage breakdown, and estimates
  • 🧠 Model Configuration - Manage LLM and embedding models
  • 📊 Status Monitoring - Monitor job status and grounding coverage

Installation

Community Nodes (Recommended)

  1. Go to Settings > Community Nodes
  2. Select Install
  3. Enter n8n-nodes-doclayer
  4. Agree to the risks and click Install

Manual Installation

# In your n8n installation directory
pnpm install n8n-nodes-doclayer

Or with npm:

npm install n8n-nodes-doclayer

Configuration

Credentials

  1. In n8n, go to Credentials > New
  2. Search for "Doclayer API"
  3. Enter your credentials:
    • API Key: Your Doclayer API key
    • Base URL: Your Doclayer instance URL (default: https://api.doclayer.ai)

Operations

Document

Operation Description
List List all documents in your account
Get Retrieve a specific document by ID
Get Chunks Get document chunks (text segments)
Get Extractions Get AI-extracted data from a document
Delete Delete a document

Ingestion

Operation Description
Upload Document Upload a file for processing
Get Presigned URL Get a URL for direct file upload
List Jobs List all ingestion jobs
Get Job Get details of an ingestion job
Process Job Trigger processing for a job
Cancel Job Cancel an active ingestion job
Retry Job Retry a failed ingestion job
Get Insights Get AI-generated insights from a job

Search

Operation Description
Vector Search Semantic search using embeddings
Graph Search Search using knowledge graph
Table Search Search within extracted tables

Project

Operation Description
List List all projects
Get Get project details
Create Create a new project
Delete Delete a project

Agent Template

Operation Description
List List available agent templates
Get Get template details

Workflow

Operation Description
List List all workflows
Get Get workflow status
Get History Get workflow execution history
Cancel Cancel a running workflow
Retry Retry a failed workflow

Billing

Operation Description
Get Usage Get current period usage breakdown
Get History Get billing history by month
Get Tier Get current tier information
Get Breakdown Get detailed cost breakdown by model
Estimate Cost Estimate processing costs for an agent

Model

Operation Description
Get Config Get current LLM and embedding configuration
List Available List all available models by provider
Set LLM Configure LLM provider and model
Set Embedding Configure embedding provider and model
Test Model Test model with sample text

Status

Operation Description
List Jobs List ingestion jobs with filtering
Inspect Job Get detailed job information
Get Grounding Report Get extraction grounding coverage

Example Workflows

Upload and Extract Data

1. Trigger → 
2. Read Binary File → 
3. Doclayer (Upload Document with agent_id) → 
4. Wait (for processing) → 
5. Doclayer (Get Extractions) → 
6. Process Data

Semantic Search

1. Webhook (with search query) → 
2. Doclayer (Vector Search) → 
3. Format Results → 
4. Respond to Webhook

Document Processing Pipeline

1. Watch Folder → 
2. Doclayer (Upload Document) → 
3. Loop: Check Status →
4. Doclayer (Get Extractions) → 
5. Send to Database/API

Cost Monitoring Workflow

1. Schedule Trigger (daily) →
2. Doclayer (Billing: Get Usage) →
3. IF cost > threshold →
4. Send Alert (Slack/Email)

Model Configuration

1. Webhook →
2. Doclayer (Model: Set LLM) →
3. Doclayer (Model: Test) →
4. Return Success/Failure

Agent Templates

Doclayer provides pre-built agent templates for common use cases:

  • contracts.msa-risks - Extract risks from Master Service Agreements
  • compliance.aml-entity-lookup - AML entity verification
  • engineering.component-extractor - Extract technical components
  • And many more...

Use the Agent Template ID field when uploading documents to automatically apply extraction agents.

Development

# Clone the repository
git clone https://github.com/doclayer/n8n-nodes-doclayer.git
cd n8n-nodes-doclayer

# Install dependencies
pnpm install

# Build
pnpm build

# Link for local testing
pnpm link --global

Resources

Support

License

MIT

Discussion