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Personal AI Fluency Plan

This repository contains a detailed personal AI fluency plan, developed as part of the AI Fluency course. The plan outlines shortterm, mediumterm, and longterm 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 RetrievalAugmented 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.