Automate Applicant Feedback with Intelligent AI Processing
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Streamline your applicant feedback process with this n8n workflow. It leverages AI to intelligently process, categorize, and store feedback, enhancing your recruitment operations.
About This Workflow
The Applicant Feedback Folder workflow automates the handling of applicant feedback by transforming raw input into actionable insights. It begins by receiving feedback via a webhook, then intelligently splits and embeds the text data using OpenAI's models. This vector data is then stored and managed in Pinecone for efficient retrieval. An AI agent, powered by Anthropic's language models, processes the feedback in context with memory and vector store lookups. The processed feedback is then logged to a Google Sheet for easy review, with automated Slack alerts for any errors encountered during the process. This workflow significantly reduces manual effort and provides a structured approach to candidate experience management.
Key Features
- Automated Feedback Ingestion: Seamlessly receive applicant feedback through a webhook trigger.
- Intelligent Text Processing: Utilizes AI for text splitting, embedding, and contextual understanding.
- Scalable Vector Storage: Leverages Pinecone for efficient storage and retrieval of feedback data.
- AI-Powered Analysis: Employs a RAG agent for nuanced processing and categorization of feedback.
- Automated Logging & Alerting: Integrates with Google Sheets for data logging and Slack for error notifications.
How To Use
- Webhook Trigger: Configure the 'Webhook Trigger' node to receive incoming applicant feedback data.
- Text Splitting & Embedding: Connect 'Text Splitter' and 'Embeddings' nodes to process the incoming text and convert it into vector embeddings using your OpenAI API credentials.
- Vector Storage (Pinecone): Use 'Pinecone Insert' to store the generated embeddings in your specified Pinecone index. Configure 'Pinecone Query' to retrieve relevant feedback for context.
- AI Agent Configuration: Set up the 'Chat Model' (e.g., Anthropic) and 'Window Memory' nodes for conversational context. Configure the 'RAG Agent' with your system prompt and connect the vector tool and memory.
- Data Logging: Connect the 'Append Sheet' node to your Google Sheets account, specifying the document ID and sheet name to log the processed feedback.
- Error Handling: Configure the 'Slack Alert' node with your Slack API credentials to receive notifications in case of workflow failures.
Apps Used
Workflow JSON
{
"id": "a76bed8b-2829-4a5e-b077-3d46c6c6b44f",
"name": "Automate Applicant Feedback with Intelligent AI Processing",
"nodes": 8,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: a76bed8b-2829...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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