Create an On-Premises AI Assistant for Kaggle Competitions Using Qdrant and Ollama
Develop a domain-specific AI assistant for Kaggle competitions using n8n, Qdrant, and Ollama. This workflow supports real-time Python coding assistance, document ingestion, and retrieval-augmented generation, all hosted on-premises for enhanced privacy.
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
- Platform
- n8n
- Category
- AI
- Price
- $14.99
- Creator
- Sebastian Müller
- set
- merge
- switch
- markdown
- stickyNote
- readWriteFile
- agent
- extractFromFile
- localFileTrigger
- lmOllama
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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