Personal AI Fluency Plan

This repository contains a detailed personal AI fluency plan, developed as part of the AI Fluency course. The plan outlines short‑term, medium‑term, and long‑term goals, core competencies, a learning path, tools & stack, and evaluation strategy.

Contents

• plan.md – Full written plan.
• main.py – A minimal, functional example that demonstrates how to build a Retrieval‑Augmented Generation (RAG) pipeline using LangChain, Chroma, and Ollama.
• requirements.txt – Python dependencies.
• .gitignore – Standard Python ignores.

How to Use

1. Set up a virtual environment

   python -m venv venv
   source venv/bin/activate   # On Windows use `venv\Scripts\activate`
   

2. Install dependencies

   pip install -r requirements.txt
   

3. Run the example

   python main.py
   

   The script will create a small Chroma vector store, embed a sample text, and query it using an Ollama LLM.

Feel free to adapt the plan and the example to your own learning journey.