Automated Job Application Parser and Storage
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This workflow automatically parses new job applications submitted via webhook, splits the text, generates embeddings, stores them in Pinecone, and logs the processing status to a Google Sheet. It uses LangChain's RAG Agent for intelligent processing and Slack for error alerts.
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About This Workflow
Overview
This n8n workflow automates the process of handling new job applications. It's designed to ingest application data through a webhook, intelligently process the content using LangChain's Retrieval Augmented Generation (RAG) capabilities, store the processed information in a vector database (Pinecone) for future retrieval, and log the outcome to a Google Sheet. This is particularly useful for HR departments looking to streamline their recruitment process, enabling efficient parsing, categorization, and storage of applicant information.
Key Features
- Webhook Trigger: Accepts new job application data via an HTTP POST request.
- Text Splitting: Breaks down large application texts into manageable chunks using the Text Splitter node.
- AI Embeddings: Generates vector embeddings of the text chunks using OpenAI's embedding models.
- Vector Database Storage: Stores the embeddings and original text in Pinecone for efficient similarity search.
- RAG Agent Processing: Utilizes LangChain's RAG Agent to process application data with context from the vector store and memory.
- Google Sheets Logging: Appends the processing status and output to a specified Google Sheet for record-keeping.
- Error Alerting: Sends notifications to Slack in case of any workflow execution errors.
How To Use
- Configure Webhook Trigger: Set up the
Webhook Triggernode with the desired path (e.g.,new-job-application-parser). This URL will receive incoming job application data. - Set up AI Nodes: Configure the
Text Splitter,Embeddings(using your OpenAI API key),Pinecone Insert, andPinecone Querynodes. Ensure thePinecone Indexis correctly set up and credentials are provided. - Configure RAG Agent: Set up the
Chat Model,Vector Tool, andWindow Memorynodes. Define theRAG Agentwith the appropriate prompt and system message, referencing the tools and memory. - Integrate Google Sheets: Configure the
Append Sheetnode with your Google Sheets credentials and specify theSHEET_IDandLogsheet name where the processing status will be recorded. - Set up Slack Alerts: Configure the
Slack Alertnode with your Slack API credentials to receive notifications on errors.
Apps Used
Workflow JSON
{
"id": "73ae0b7d-73d9-4e61-9531-19c9a108fe16",
"name": "Automated Job Application Parser and Storage",
"nodes": 0,
"category": "Human Resources Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 73ae0b7d-73d9...
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