AI-Powered Interview Scheduler with RAG and Automated Logging
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Automate and enhance your interview scheduling process with this intelligent n8n workflow. Leveraging Retrieval Augmented Generation (RAG), it acts as an AI assistant to process interview requests, store crucial context, and log outcomes seamlessly, all while keeping you informed of any issues.
About This Workflow
This powerful n8n workflow transforms your interview scheduling into a highly efficient and intelligent operation. Triggered by a simple webhook, it acts as a dedicated AI assistant powered by OpenAI's chat models and Weaviate for contextual retrieval. It intelligently processes interview-related data, stores and retrieves information from a vector database (Weaviate), and maintains conversational memory to provide personalized and consistent responses. All scheduling actions and their outcomes are meticulously logged into Google Sheets, ensuring a clear audit trail. Furthermore, integrated Slack alerts provide instant notifications for any errors, ensuring smooth and reliable operations.
Key Features
- Intelligent RAG Agent: Utilizes OpenAI's chat models with Retrieval Augmented Generation (RAG) capabilities via Weaviate to understand context and provide accurate scheduling assistance.
- Conversational Memory: Maintains context across interactions using a window memory, enabling a more natural and efficient AI assistant experience.
- Automated Data Ingestion & Retrieval: Effortlessly processes and stores interview-related documents and information into a Weaviate vector database for rapid, context-aware retrieval.
- Seamless Logging: Automatically appends interview scheduling statuses and outcomes to a designated Google Sheet, creating an organized and searchable record.
- Real-time Error Notifications: Instantly alerts your team via Slack for any processing errors, ensuring proactive issue resolution and continuous workflow integrity.
How To Use
- Set Up Webhook Trigger: Configure the "Webhook Trigger" node to receive POST requests. This will be the entry point for your interview scheduling data or prompts.
- Connect OpenAI: Provide your OpenAI API credentials to the "Embeddings" and "Chat Model" nodes to enable text embedding and AI language generation.
- Integrate Weaviate: Connect your Weaviate API credentials to the "Weaviate Insert" and "Weaviate Query" nodes. Ensure your Weaviate instance has an index named
interview_schedulerfor storing and retrieving contextual information. - Configure Google Sheets: Authenticate the "Append Sheet" node with your Google Sheets account. Specify the
SHEET_IDand theLogsheet name where the AI agent's outputs will be recorded. - Set Up Slack Alerts: Provide your Slack API credentials to the "Slack Alert" node and specify the
#alertschannel for real-time error notifications. - Customize RAG Agent: Adjust the
systemMessagein the "RAG Agent" node to fine-tune the AI assistant's persona and specific instructions for handling interview scheduling tasks.
Apps Used
Workflow JSON
{
"id": "66de906f-65f5-41d9-9842-ae33bd9cd62a",
"name": "AI-Powered Interview Scheduler with RAG and Automated Logging",
"nodes": 20,
"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.
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ID: 66de906f-65f5...
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