Automated resume scoring with Gemini LLM, Gmail and Notion job profiles
Ready for 3.0What this workflow does
This AI workflow has 16 nodes and runs on Gmail events. Along the way it connects Google Gemini Chat Model, Gmail, Notion and Google Sheets. It also calls api.cloud.llamaindex.ai over HTTP.
How it runs
Trigger: On Gmail events.
- Upload to LlamaParse (HTTP Request): calls api.cloud.llamaindex.ai (POST)
- Get Processing Status (HTTP Request): calls an HTTP API
- Is Job Ready? (Switch): routes items into 4 branches
- Get Parsed Resume (HTTP Request): calls an HTTP API
- Wait: waits 1 seconds
- Professional Information Extractor (Information Extractor): extracts structured fields from text with AI, with model: Google Gemini Chat Model
- Educational Information Extractor (Information Extractor): extracts structured fields from text with AI, with model: Google Gemini Chat Model
- Personal Information Extractor (Information Extractor): extracts structured fields from text with AI, with model: Google Gemini Chat Model
- Merge: merges the data from its input branches
- Merge: merges the data from its input branches
…plus 4 more steps. See the full node list below.
Services it uses
HTTP calls to: api.cloud.llamaindex.ai
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 Gmail Trigger below v1.4 runs as v1.4 (drafts skipped, max emails per poll) (Gmail Trigger).
Nodes used (11)
- HTTP Request
n8n-nodes-base.httpRequest - Wait
n8n-nodes-base.wait - Switch
n8n-nodes-base.switch - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Gmail Trigger
n8n-nodes-base.gmailTrigger - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - Merge
n8n-nodes-base.merge - Notion
n8n-nodes-base.notion - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Google Sheets
n8n-nodes-base.googleSheets - Gmail
n8n-nodes-base.gmail
From the author
This n8n template demonstrates how to use AI to score the all Resumes by matching it with Job profile Problem Statement: A Hr person is flooded with resume and spends hours manually checking each to find most suitable ones. How it works 1. It is linked to…