On-Premises Kaggle AI Assistant with Qdrant RAG & Ollama
Builds a local AI helper for Kaggle competitions offering real-time coding aid, RAG document retrieval, and workflow automation using Ollama LLM and Qdrant vector DB.
This workflow creates an entirely on-premises AI assistant tailored for Kaggle competitions, such as binary disaster-tweet classification. It leverages n8n for orchestration, Ollama for local LLM hosting (qwen3:8b for chat/coding, mxbai-embed-large for embeddings), and Qdrant for RAG to retrieve competition guidelines, tutorials, and notebooks converted to HTML. A local file trigger watches for new Jupyter notebooks in a specified folder, enabling on-demand ingestion and summarization using ALIE
- Platform
- n8n
- Category
- HR & Operations
- Price
- $24.99
- Creator
- Ivan Volkov
- AI
- RAG
- Kaggle
- Ollama
- Qdrant
- LLM
- On-Premises
- Data Science
- Coding Assistant
- Vector Database
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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