AI recruiter – analyze multiple CVs vs job description using OpenAI GPT
Ready for 3.0What this workflow does
This AI workflow has 15 nodes and runs when an HTTP POST request hits its webhook URL. Along the way it connects OpenAI Chat Model.
How it runs
Trigger: When an HTTP POST request hits its webhook URL.
- List_File (Code): runs custom JavaScript code
- Detect PDF Type (Code): runs custom JavaScript code
- If: checks a condition and branches into true / false
- Convert Base64 to Binary (Code): runs custom JavaScript code
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Extract from File: extracts data from a file (pdf)
- Reattach_Metadata_After_Extract (Code): runs custom JavaScript code
- Combine_Candidates_For_AI (Code): runs custom JavaScript code
- Preprocess_CV_Names (Code): runs custom JavaScript code
- AI Recruiter Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model
…plus 2 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
- Still check Always Output Data on multi-output nodes (If/Switch) now adds an empty item only when every output is empty (If).
Nodes used (9)
- Webhook
n8n-nodes-base.webhook - Respond to Webhook
n8n-nodes-base.respondToWebhook - AI Agent
@n8n/n8n-nodes-langchain.agent - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Extract from File
n8n-nodes-base.extractFromFile - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - No Operation, do nothing
n8n-nodes-base.noOp
From the author
An AI Recruiter that screens, scores, and ranks candidates in minutes — directly inside n8n. --- 🧠 Overview An AI-powered recruiter workflow that compares multiple candidate CVs with a single Job Description (JD). It analyzes text content, calculates fit…