From 428a4f1b9ec9c921151d848c4fe5060ed793ed80 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=D0=9A=D0=B8=D1=80=D0=B8=D0=BB=D0=BB=20=D0=A0=D0=BE=D0=BC?=
 =?UTF-8?q?=D0=B0=D0=BD=D0=BE=D0=B2?= <kirilinka320@gmail.com>
Date: Tue, 2 Jun 2026 06:06:35 +0000
Subject: [PATCH] Add README.md

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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 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**
+   ```bash
+   python -m venv venv
+   source venv/bin/activate   # On Windows use `venv\Scripts\activate`
+   ```
+2. **Install dependencies**
+   ```bash
+   pip install -r requirements.txt
+   ```
+3. **Run the example**
+   ```bash
+   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.
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