Intelligent Meeting & Event Scheduling with AI

This advanced n8n workflow integrates multiple AI models and services to facilitate intelligent event scheduling and information retrieval. It captures user inputs via webhooks, manages calendar events, and leverages large language models and vector stores for context-aware responses. The workflow is built to dynamically handle requests related to event timing, scheduling, and data retrieval, making it ideal for automated event planning and intelligent virtual assistant applications.

The workflow initiates with a webhook trigger to capture user requests. It interacts with Google Calendar to retrieve or update event dates, such as concert start times, and processes these details using various AI language models. It also interfaces with a vector database (Qdrant) for similarity search and document retrieval, enabling contextually relevant answers through a Retrieval-Augmented Generation (RAG) system. The system can dynamically create and refresh vector collections, retrieve relevant documents, and generate detailed responses.

Practical applications include automating scheduling in event management, providing intelligent chat responses for virtual assistants, and enhancing workflows where context-aware data retrieval and scheduling are required. The design supports complex interactions combining calendar management, document processing, and conversational AI to streamline information handling and planning activities.