AI-Powered Interview Scheduler Workflow

This n8n workflow automates the entire process of scheduling, managing, and logging interviews using AI integration. It starts with a Webhook trigger that captures interview requests, then uses language models and vector embeddings to analyze and store relevant data. The workflow employs Langchain components like text splitting, embeddings via OpenAI, and Weaviate vector store for semantic storage and retrieval. It also leverages a Chat Model for natural language processing, consolidating info through a Retrieval-Augmented Generation (RAG) agent that interacts with the data. Results and statuses are logged into a Google Sheet, and any errors trigger Slack alerts. Designed for HR teams, this system ensures efficient interview management, seamless data handling, and instant notifications.