diff --git a/README.md b/README.md
index af50295..320f436 100644
--- a/README.md
+++ b/README.md
@@ -1,52 +1,46 @@
-# FAQ‑Bot – ChromaDB + MCP Tool
+# FAQ Bot – ChromaDB + MCP‑style Tool
 
-## Overview
-This project implements an FAQ‑bot that answers questions about local course notes stored in Markdown files using **ChromaDB** for retrieval and a single **MCP‑style tool** for metadata queries.
+This repository implements a small FAQ bot that answers questions about a course. The bot uses:
 
-- **Local knowledge** – 2–3 `.md` files in `data/`.
-- **Vector store** – ChromaDB with Ollama embeddings.
-- **Tool** – `fetch_course_meta` that performs a GET request to a local JSON file (mock MCP server).
-- **Agent** – LangGraph agent that routes the query to the appropriate source and labels the answer with `source: chroma | mcp_meta`.
-- **CLI** – 3 example questions (2 for Chroma, 1 for meta) and an interactive mode.
+* **ChromaDB** (via `langchain_chroma`) for local semantic search over markdown notes.
+* **Ollama** embeddings (`nomic-embed-text`) and a local LLM (`llama3`).
+* A **single MCP‑style tool** that mimics a metadata service.
+* A **LangChain agent** that routes queries to the correct tool and tags the answer with a source.
+
+The bot is launched from the command line and offers three preset questions (two for the FAQ store, one for metadata) as well as an interactive mode.
 
 ## Setup
+
 ```bash
-# Pull Ollama model
+# Pull the required Ollama model
 ollama pull nomic-embed-text
+ollama pull llama3
 
 # Install dependencies
 pip install -r requirements.txt
-
-# Start local mock MCP server (JSON file)
-python -m http.server 8000 --directory mock
 ```
 
-## Running the Bot
+## Running the bot
+
 ```bash
-python main.py --question "What is the course schedule?"
+python main.py
 ```
 
-## Example Questions
-1. **Chroma** – *"What topics are covered in week 3?"*
-2. **Chroma** – *"How many hours per week are required?"*
-3. **Meta** – *"What is the course schedule?"*
+You will see three preset questions. Type the number or a custom question and press **Enter**. Type `/quit` to exit.
+
+## Project structure
 
-## Project Structure
 ```
-├── data/                 # Markdown FAQ files
-├── mock/                 # JSON mock MCP server
-├── src/
-│   ├── agent.py          # LangGraph agent definition
-│   ├── chunker.py        # Chroma loader
-│   ├── cli.py            # CLI interface
-│   ├── config.py         # Config & constants
-│   ├── init_loader.py    # Bulk loader
-│   ├── qdrant_store.py   # Vector store helper
-│   ├── rag_tools.py      # Search & meta tools
-│   ├── tools.py          # MCP wrapper
-│   └── vector_store.py   # Chroma store
-└── requirements.txt
+├── data/                     # Markdown FAQ files and static metadata JSON
+├── config.py                 # Configuration constants
+├── chunker.py                # Text chunking helper
+├── vector_store.py           # Chroma store and search tool
+├── tools.py                  # LangChain tools (search + MCP‑style)
+├── main.py                   # Entry point & CLI
+├── requirements.txt
+└── README.md
 ```
 
 ## License
+
 MIT
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