Automated Resume Screening Process for Efficient Hiring

• Automate the collection and screening of candidate resumes.
• Integrate resume data with Google Sheets for tracking and management.
• Receive real-time alerts on screening errors via Slack.

Webhook trigger captures resumes submitted by candidates. Text splitter divides resumes into manageable chunks for processing. Embeddings are generated to analyze the content of resumes. Data is inserted into a vector database for efficient querying. The workflow utilizes a vector tool and RAG agent for intelligent resume evaluation. Final results are logged in Google Sheets, and errors are reported via Slack.

1. 1
   Import the workflow template into your n8n instance.
2. 2
   Configure the webhook trigger with your desired endpoint.
3. 3
   Set up credentials for Google Sheets, Slack, and any AI services used.
4. 4
   Adjust parameters in the text splitter and embeddings nodes as needed.
5. 5
   Test the workflow by submitting a sample resume to the webhook.