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Self-hosted AI starter kit (by the n8n team)

@cedricdcc

About Self-hosted AI starter kit (by the n8n team)

pydantic agent workflow using mcp servers to test out advanced retrieval of linked data

Basic information

Category

Developer Tools

Runtime

python

Transports

stdio

Publisher

cedricdcc

Config

No standard config provided

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Repository

Tools

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Overview

What is Self-hosted AI starter kit (by the n8n team)?

The Self-hosted AI starter kit is an open Docker Compose template that quickly bootstraps a fully featured Local AI and Low Code development environment. It combines the self-hosted n8n platform with curated AI products including Ollama, Open WebUI, Flowise, Qdrant, and PostgreSQL. This version by coleam00 adds Open WebUI and Flowise improvements and includes a pre-configured local RAG AI Agent workflow.

How to use Self-hosted AI starter kit (by the n8n team)?

Clone the repository, navigate to the local-ai-packaged directory, and run docker compose with the appropriate profile (--profile gpu-nvidia, --profile cpu, or without a profile for Mac). Then open http://localhost:5678/ to set up n8n and http://localhost:3000/ to set up Open WebUI. Configure credentials for Ollama, Postgres, Qdrant, and optionally Google Drive, then activate the included workflow and paste the n8n_pipe.py code into Open WebUI’s Functions.

Key features of Self-hosted AI starter kit (by the n8n team)

  • Includes self-hosted n8n with over 400 integrations and AI components
  • Bundles Ollama for running local LLMs like Llama3.1
  • Provides Open WebUI for interacting with models and n8n agents
  • Includes Flowise for no/low code AI agent building
  • Ships with Qdrant vector store and PostgreSQL database
  • Pre-loaded local RAG AI Agent workflow auto-installed on first run

Use cases of Self-hosted AI starter kit (by the n8n team)

  • Building and testing self-hosted AI workflows with local language models
  • Creating a private ChatGPT-like interface for interacting with n8n agents
  • Developing proof-of-concept AI applications that keep data entirely on-premises
  • Experimenting with RAG pipelines using local vector stores and LLMs

FAQ from Self-hosted AI starter kit (by the n8n team)

What hardware do I need?

The kit supports Nvidia GPUs (via Docker profile), Mac/Apple Silicon (CPU-only or with external Ollama), and CPU-only environments for all other setups.

How do I upgrade the starter kit?

Run docker compose --profile <profile> pull followed by docker compose create && docker compose --profile <profile> up, using the same profile as your initial installation.

Where are local files stored?

A shared folder is mounted to the n8n container at /data/shared. Nodes like Read/Write Files from Disk, Local File Trigger, and Execute Command can access files there.

How do I connect to Ollama from n8n?

For Docker-based setups, use http://ollama:11434 as the Ollama URL. For Mac users running Ollama natively, use http://host.docker.internal:11434/.

Is this production-ready?

The starter kit is designed to help get started with self-hosted AI workflows for proof-of-concept projects and is not fully optimized for production environments, though it uses robust components.

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