Build an On-Premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama

Say goodbye to scattered Kaggle workflows!

This automation bundles a domain-specific, on-premises AI assistant built for Kaggle competitions. It combines real-time coding support, vector-powered RAG search, and smart workflow orchestration — all locally hosted for full data privacy.

Whether you're tackling binary tweet classification or any other competition, this tool gives you a streamlined, AI-augmented dev environment with zero cloud dependencies.

What it does:

🤖 Provides “real”-time Python code help with LLM chat

📚 Retrieves competition-specific documents using RAG

🔁 Automates data ingestion, LLM calls & API use via n8n

🧠 Converts Kaggle docs to HTML for deep context retrieval

🛡️ Runs entirely on-prem using Ollama + Qdrant — privacy first

✅ Containerized setup, pre-loaded with Qwen3 & summarizer models

Need help setting it up? We offer full configuration and testing for a one-time fee.