Applicant Feedback Folder Automation
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Automates the processing of applicant feedback by ingesting it into a knowledge base and logging outcomes.
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About This Workflow
This workflow automatically processes applicant feedback. It receives feedback via a webhook, splits the text into manageable chunks, generates embeddings for each chunk, and stores these in a Pinecone vector database. It then uses a RAG (Retrieval Augmented Generation) agent to process the data, with chat and memory components, and logs the results to a Google Sheet. Errors are alerted via Slack.
Key Features
- Webhook Trigger: Accepts incoming applicant feedback data.
- Text Splitting: Divides large text inputs into smaller, processable chunks.
- Embeddings Generation: Creates vector representations of text chunks using OpenAI's
text-embedding-3-smallmodel. - Pinecone Integration: Stores and queries vector embeddings in a Pinecone index (
applicant_feedback_folder). - RAG Agent: Utilizes an Anthropic chat model (
lmChatAnthropic) with vector tool and window memory for context-aware processing. - Google Sheets Logging: Appends processed feedback summaries to a Google Sheet (
applicant_feedback_folderindex,Logsheet). - Slack Alerts: Notifies a specified Slack channel (
#alerts) in case of errors.
How To Use
- Trigger: Send a POST request to the webhook endpoint (
applicant-feedback-folder) with applicant feedback data. - Processing: The workflow will automatically:
- Split the incoming text.
- Generate embeddings.
- Insert embeddings into Pinecone.
- Query Pinecone using the RAG agent with an Anthropic chat model and window memory.
- Append the processed output to the 'Log' sheet in the specified Google Sheet.
- Error Handling: If any step fails, an alert will be sent to the
#alertsSlack channel.
Apps Used
Workflow JSON
{
"id": "303c7609-32be-474a-8354-845edfc4df23",
"name": "Applicant Feedback Folder Automation",
"nodes": 0,
"category": "Data Processing",
"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: 303c7609-32be...
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