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Learn Local AI: Masterclass on AI Agents and Practical Applications in the GitHub Repository

Docker Compose, Flowise, Local AI Development, n8n, Open WebUI, PostgreSQL, Self-hosted AI

The Self-hosted AI Starter Kit is a user-friendly Docker template designed to set up a complete Local AI and Low Code development environment. This version enhances Cole’s original kit by incorporating Open WebUI and Flowise, making interactions with N8N agents simpler. Users will benefit from an automatic local RAG AI Agent workflow within their N8N instance. The kit combines essential components like Ollama for local LLMs, Open WebUI for ChatGPT-like interactions, Flowise for AI agent building, and PostgreSQL for robust data management. Ideal for those looking to create proof-of-concept AI workflows, it streamlines the setup process while offering great customization potential.



Self-Hosted AI Starter Kit: Empower Your Local AI Development

The Self-Hosted AI Starter Kit is an exciting new tool that lets developers easily create a powerful local AI and low-code development environment. This open-source tool uses Docker Compose, which allows you to set up everything quickly and efficiently. One of its standout features is the Open WebUI interface, enabling you to chat with your N8N agents effectively.

This particular version by Cole adds several improvements, including the integration of Open WebUI and Flowise, helping to streamline your workflows. Plus, if you opt for this enhanced setup, you’ll benefit from an automatic local RAG AI Agent workflow featured in the N8N instance. For those looking to dive in, the original Local AI Starter Kit can be found on GitHub.

How to Get Started

If you want to get started with the N8N and Open WebUI integration, you can download it directly from the Open WebUI website for hassle-free access. The self-hosted N8N platform supports over 400 integrations, providing a rich environment for creating custom workflows.

Key Features

The Self-Hosted AI Starter Kit includes powerful tools and integrations:
– N8N: A low-code platform that simplifies workflow creation.
– Ollama: Install and run local LLMs effortlessly.
– Open WebUI: A user-friendly interface to interact privately with local models and N8N agents.
– Flowise: A no/low-code AI agent builder that works seamlessly with N8N.
– Qdrant: An efficient vector store with a robust API to manage your data.
– PostgreSQL: The reliable database system suited for extensive data handling.

Quick Setup Instructions

For a streamlined setup, follow these easy steps:
1. Download the kit from the provided GitHub repository.
2. Open your terminal and enter the commands to clone the repository.
3. Navigate to the project folder and run Docker Compose commands to set everything up.
4. Open your browser to set up N8N and the Open WebUI by visiting the corresponding local URLs.

Conclusion

The Self-Hosted AI Starter Kit is an ideal solution for developers looking to explore AI development without diving into complex configurations. By providing a fully equipped local environment, it enables users to focus on building applications rather than worrying about setup challenges. So, if you’re eager to explore the world of local AI, this starter kit is the perfect tool to kickstart your projects.

Tags: Self-Hosted AI, Local AI Development, N8N, Open WebUI, Docker Compose

What is the AI Agents Masterclass?

The AI Agents Masterclass is a course designed to teach people how to create and use AI agents. These agents can automate tasks and help with a variety of applications, making tasks easier and more efficient.

Who is this course for?

This course is suitable for anyone interested in artificial intelligence. Whether you’re a beginner or someone with some experience, you’ll find useful information to help you create your own AI agents.

What do I need to start the course?

To start the course, you’ll need a computer with internet access. It helps if you have some basic knowledge of coding, but the course also introduces fundamental concepts for beginners.

How long does the course take to complete?

The duration of the course can vary based on your pace. Typically, most people complete it in a few weeks if they dedicate a few hours each week to learning and practicing.

Will I get support while taking the course?

Yes, you will have access to support from instructors and a community of other learners. You can ask questions, share challenges, and get help as you work through the course material.

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