HR-focused automation pipeline with AI

HR Expert This workflow automates the process of handling job applications by extracting relevant information from submitted CVs, analyzing the candidate's qualifications against a predefined profile, and storing the results in a Google Sheet

Workflow Structure (12 nodes)
100%
Form Trigger
On form submission
Extract From File
Extract from File
Google Drive
Upload CV
Langchain.information Extractor
Personal Data
Merge
Merge
Langchain.chain Summarization
Summarization Chain
Set
Profile Wanted
Langchain.chain Llm
HR Expert
Google Sheets
Google Sheets
Langchain.information Extractor
Qualifications
Langchain.lm Chat Open Ai
OpenAI
Langchain.output Parser Structured
Structured Output Parser
Node Types:
trigger
default
logic
transform
action
Requires credentials

Prerequisites

Required Credentials (3)

Google Drive

Used by: Upload CV

Docs

Google Sheets

Used by: Google Sheets

Docs

OpenAI

Used by: OpenAI

Docs

Multiple services required

This workflow needs 3 different credentials. Make sure you have accounts for all services before importing.

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~40 min
Score: 55/100
Conditional Logic
4 Integrations

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Automated Reporting

Automatically collect and organize data into spreadsheets for analysis.

Spend less time on data entry and more time on insights.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

workflow.json
{
  "id": "t1P14FvfibKYCh3E",
  "meta": {
    "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
    "templateCredsSetupCompleted": true
  },
  "name": "HR-focused automation pipeline with AI",
  "tags": [],
  "nodes": [
    {
      "id": "b1092f93-502c-4af0-962e-2b69311b92a3",
      "name": "On form submission",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        -520,
        -200
      ],
      "webhookId": "2a87705d-8ba1-41f1-80ef-85f364ce253e",
      "parameters": {
        "options": {},
...

Workflow Details

Nodes
18
Trigger
Event
Source
awesome
Added
Dec 4, 2025

Need Help?

Check out the official n8n documentation for detailed guides.

Related Workflows

Host Your Own AI Deep Research Agent with n8n, Apify and OpenAI o3

2. Ask Clarifying Questions [Read more about form nodes](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-b...

Outputparserstructured
Lmchatopenai
Form
Chainllm
87 nodesEvent
Curated

Enrich FAQ sections on your website pages at scale with AI

🚨 Set Destination Folders Here

Lmchatopenai
Google-drive
Google-sheets
Executeworkflow
36 nodesEvent
Curated

Visual Regression Testing with Apify and AI Vision Model

Part A. Generate Base Images Before we can run our visual regression tests, we must generate a series of base screenshot...

Google-drive
Lmchatgooglegemini
Outputparserstructured
Http-request
34 nodesScheduled
Curated

Email AI Auto-responder. Summerize and send email

STEP 1 Create Qdrant Collection Change: - QDRANTURL - COLLECTION

Emailreadimap
Lmchatopenai
Emailsend
Vectorstoreqdrant
26 nodesManual
Curated

Podcast Digest

Chunk the transcript into several parts, and refine-summarize it

Documentjsoninputloader
Textsplitterrecursivecharactertextsplitter
Chainsummarization
Lmchatopenai
19 nodesManual
Curated

Customer Insights with Qdrant, Python and Information Extractor

Step 1. Starting Fresh For this demo, we'll clear any existing records in our Qdrant vector store for the selected compa...

Documentdefaultdataloader
Textsplitterrecursivecharactertextsplitter
Embeddingsopenai
Http-request
37 nodesEvent
Curated