This guide is for anyone who wants to get started with AI quickly:

• Programming (LangFlow)
• Day-to-day computer tasks (Flowise)
• Model Context Protocol: MCP Clinets, Proxy & Servers

Please ⭐️ Star this repo 😉

Low-Code Guide

Follow these requirements:

0. Read my blog post on Medium to understand the basics of RAG and how it works.
1. Download & Install Docker Desktop (docs).
2. Register with OpenRouter, add $5 in credits, and create an API Key.
3. Install Ollama. Then go to the Models page and select "Embedding". Choose mxbai-embed-large (note the "View all →" link at the top right of the "Models" table), select mxbai-embed-large:latest, then copy the command that starts with ollama pull mxbai..., paste it into your terminal, and hit enter to execute it. Check if Ollama is running by running the ollama list command in your terminal; you should see mxbai-embed-large in the list. This will install and download the embedding model to your computer locally.
4. Download any text document you like. Example: The Adventures of Sherlock Holmes by Arthur Conan Doyle (plain text) and save it to your local computer.
5. Continue with LangFlow if you are a developer, or Flowise if you want to use a no-code approach.

MCP Practical Guide

Follow these requirements:

0. Read my blog post on Medium to understand the basics of MCP and how it works.
1. Register on the mcp.composio.dev and add one application such as Gmail, Google Drive, Google Docs, Google Googlesheets, MS Excel, MS One Drive, Linkedin, Dropbox, etc. Copy the provided URL.
2. Register with OpenMemory.dev and get your API key here.
3. Continue with MCP lessons.