n8n Workflows Collection

Welcome to the n8n Workflows Collection 🚀
This repository provides ready-to-use workflows for n8n, an open-source workflow automation tool. The goal is to help teams streamline their processes, integrate tools, and build AI-powered automations with minimal effort.

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🌟 What is n8n?

n8n is a workflow automation platform that allows you to connect different apps and services using a low-code approach.

• Automate repetitive tasks
• Connect APIs and Services
• Integrate AI into workflows
• Run on your own server (self-hosted) or use the cloud version.

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✅ Benefits of Using These Workflows

• Prebuilt Automations → Save time with workflows designed for real use cases
• Customizable → Modify nodes, credentials, or logic to suit your needs
• Scalable → From simple tasks to AI-driven workflows

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📂 Repository Structure

• Asana_Automation/
  Automates Asana projects and tasks with AI. Includes a chatbot UI (chatbot.html) for interaction.

• Slack_AI_Agent_Chatbot/
  Creates an AI chatbot inside Slack that connects to your company’s knowledge base and answers queries.

• RAG_with_Qdrant_VectorStore/ Allows you to ingest documents, generate embeddings, and chat with your data using an AI agent.

• docker-compose.yml
  Configuration to run n8n + Postgres locally with Docker.

Each folder includes:

• workflow.json → The actual n8n workflow export
• README.md → Documentation explaining the workflow’s purpose and setup

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📖 N8N Documentation & Resources

• n8n Docs: https://docs.n8n.io
• Community: https://community.n8n.io

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Running n8n Locally with Docker

A step-by-step guide to run n8n locally using Docker Compose, import the provided workflows, and run the Asana chatbot frontend.

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🐳 Prerequisites

• Docker installed
• Docker Compose installed
• A terminal/command prompt
• (Optional) Python or http-server to serve static files for the chatbot UI

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📦 Repository Contents

• docker-compose.yml — runs Postgres (with pgvector) and n8n
• Asana_Automation/Asana_Automation.json — Asana workflow export
• Asana_Automation/chatbot.html — lightweight frontend that sends messages to an n8n webhook
• Slack_AI_Agent_Chatbot/ — Slack AI Agent workflow export
• RAG_with_Qdrant_VectorStore/ — RAG workflow using Qdrant vector store for document ingestion, embeddings, and AI-assisted chat

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⚙️ Docker Compose Configuration

This repository already contains a docker-compose.yml file with the required parameters.

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🗝️ Parameter Variables

You can configure n8n and its database either by using a .env file or directly in the docker-compose.yml environment section.

Using a .env file

Create a .env file in the same folder as docker-compose.yml:

AZURE_OPENAI_API_KEY=your_azure_key_here
AZURE_OPENAI_ENDPOINT=https://your-azure-endpoint/
AZURE_OPENAI_GPT4_TURBO=your_deployment_name
N8N_BASIC_AUTH_USER=n8n_user
N8N_BASIC_AUTH_PASSWORD=1234

Variables explained

• DB_TYPE, DB_POSTGRESDB: Configure n8n to connect to the Postgres database defined in docker-compose.yml. Make sure the user/password match the Postgres service.
• N8N_BASIC_AUTH: Enable and set login credentials for the n8n UI. You can provide these in .env or directly in the docker-compose.yml environment section.
• N8N_CORS: Allow browser-based frontends (like chatbot.html on port 3001) to access the n8n API/webhooks during development. This prevents cross-origin errors when your frontend and n8n run on different ports.

Tip: For local development, you can use either approach—environment variables in .env or directly in the Docker environment section. Using .env keeps secrets out of version control. Always add .env to .gitignore.

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🚀 Start the Stack

From the repository root, run:

docker compose up -d

Check running containers from docker desktop application or command line tool:

docker compose ps

Follow logs (helpful while starting):

docker compose logs -f n8n

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🌐 Access the n8n Editor

Open in your browser:

http://localhost:5678

Default login (from compose):

• Username: n8n_user
• Password: 1234

Important: Change these credentials before using in production.

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🚀 How to Use and Import Workflows

1. Log in to n8n.
2. Click Workflows → New workflow.
3. Click the menu (⋯) in top-right → Import from File.
4. Import Asana_Automation/Asana_Automation.json, Slack_AI_Agent_Chatbot/Slack AI Agent Chatbot.json, or RAG_with_Qdrant_VectorStore/RAG with Qdrant VectorStore.json files of the workflow you want to use.
5. Configure credentials (e.g., Slack, Asana, Qdrant, Google Drive, etc.)
6. Save and edit nodes as needed.
7. Activate and run!

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🔑 Configure Required Credentials

Most workflows need external credentials. In n8n UI:

• Click Credentials in the left menu (or open the workflow and click a node that needs a credential).
• Add new credentials for each service used, for example:
  • Asana → Personal Access Token (guide)
  • Slack → OAuth token / Slack App credentials
  • Azure OpenAI / OpenAI / Ollama → API key and endpoint
  • Qdrant → API key / endpoint (for Slack RAG workflow)

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🛑 Stopping & Removing Containers

Stop containers (preserve data):

docker compose down

Stop and delete volumes (delete all stored data):

docker compose down -v

List volumes:

docker volume ls

Remove a named volume:

docker volume rm <volume_name>

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🔒 Security & Production Notes

• Do not use default credentials in production.
• Use strong passwords and secrets manager.
• Do not commit .env or secrets to version control.
• Consider HTTPS and a reverse proxy (e.g., nginx) before exposing n8n to the public internet.
• Use separate credentials for production integrations (Asana, Slack, OpenAI, etc.).

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