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

LLM/RAG Kaggle Development Assistant An on-premises, domain-specific AI assistant for Kaggle (tested on binary disaster-tweet classification), combining LLM, an n8n workflow engine, and…

The short answer

Build an On-Premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama is a n8n workflow for Engineering. LLM/RAG Kaggle Development Assistant An on-premises, domain-specific AI assistant for Kaggle (tested on binary disaster-tweet classification), combining LLM, an n8n workflow engine, and… It is rated advanced and runs locally — free and private, with 8 custom nodes required.

Import / view source
Use case
Engineering
Difficulty
advanced
Author
JHH
Updated
Jul 23, 2026

Required custom nodes

  • switch
  • localFileTrigger
  • markdown
  • agent
  • chainSummarization
  • lmChatOllama
  • lmOllama
  • memoryBufferWindow

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

A working n8n automation that runs against a local model via Ollama - 2,052 views on the n8n template library. LLM/RAG Kaggle Development Assistant An on-premises, domain-specific AI assistant for Kaggle (tested on binary disaster-tweet classification), combining LLM, an n8n workflow engine, and…

What it does

LLM/RAG Kaggle Development Assistant An on-premises, domain-specific AI assistant for Kaggle (tested on binary disaster-tweet classification), combining LLM, an n8n workflow engine, and… It chains 19 nodes, integrating switch, localFileTrigger, markdown, agent.

Requirements

  • n8n (self-hosted, free) to run the workflow
  • Ollama serving a local model
  • A GPU with enough VRAM for your chosen model (see best model per GPU)

Import it

Open the workflow on the n8n template library and click Use workflow to import it into your self-hosted n8n, then point its model node at your local Ollama endpoint (http://localhost:11434).

Use it with

n8n · Ollama

Workflow by JHH on the n8n template library. We link to the original to import; credit and the workflow JSON belong to its author.

Frequently asked

What does the Build an On-Premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama workflow do?

LLM/RAG Kaggle Development Assistant An on-premises, domain-specific AI assistant for Kaggle (tested on binary disaster-tweet classification), combining LLM, an n8n workflow engine, and… It is a n8n workflow built for Engineering.

What do I need to run Build an On-Premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama?

Build an On-Premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama runs on n8n and needs 8 custom nodes. It runs entirely on your own machine.

Is Build an On-Premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama free to use?

Yes. Build an On-Premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama is a local, self-hosted n8n workflow — there are no per-run or API costs once your hardware is set up.

How hard is it to set up Build an On-Premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama?

Build an On-Premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama is rated advanced. Expect some configuration; review the required components first.