AI automated HR workflow for CV analysis and candidate evaluation
Ready for 3.0What this workflow does
This AI workflow has 12 nodes and runs when someone submits an n8n form (“Send CV”). Along the way it connects Google Sheets, Google Drive and OpenAI Chat Model.
How it runs
Trigger: When someone submits an n8n form (“Send CV”).
- Extract from File: extracts data from a file (pdf)
- Upload CV (Google Drive): uses Google Drive
- Qualifications (Information Extractor): extracts structured fields from text with AI, with model: OpenAI
- Personal Data (Information Extractor): extracts structured fields from text with AI, with model: OpenAI
- Merge: merges the data from its input branches
- Summarization Chain: summarizes text with AI, with model: OpenAI
- Profile Wanted (Edit Fields (Set)): sets 1 field: profile_wanted
- HR Expert (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI; output parser: Structured Output Parser
- Google Sheets: append
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.
Nodes used (11)
- n8n Form Trigger
n8n-nodes-base.formTrigger - Extract from File
n8n-nodes-base.extractFromFile - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - Summarization Chain
@n8n/n8n-nodes-langchain.chainSummarization - Merge
n8n-nodes-base.merge - Edit Fields (Set)
n8n-nodes-base.set - Google Sheets
n8n-nodes-base.googleSheets - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Google Drive
n8n-nodes-base.googleDrive - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
From the author
How it Works 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. Here’s how…