On-Premises Kaggle AI Assistant with Qdrant RAG & Ollama - n8n Workflow | Neura Market
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
Jose Maurino
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.