Create an On-Premises AI Assistant for Kaggle Competitions Using Qdrant and Ollama

This workflow is designed to assist in Kaggle competitions by leveraging a combination of n8n for workflow automation, Qdrant for retrieval-augmented generation, and Ollama for local AI processing. It includes features like real-time Python code recommendations, debugging help, and multi-turn conversational context. The workflow is entirely on-premises, ensuring privacy by not transferring any code or data externally. It requires a high-end GPU for optimal performance. The workflow is initiated by monitoring a local folder for new documents, which are then processed and stored in a vector database for efficient retrieval during AI interactions.