diff --git a/README.md b/README.md
index edd18fc..738d03b 100644
--- a/README.md
+++ b/README.md
@@ -1,87 +1,160 @@
+
+
+# Code Graph
+
[](https://app.falkordb.cloud)
[](https://hub.docker.com/r/falkordb/falkordb/)
[](https://discord.com/invite/6M4QwDXn2w)
[](https://github.com/FalkorDB/code-graph/actions/workflows/nextjs.yml)
-
+**Visualize codebases as knowledge graphs to analyze dependencies, detect bottlenecks, and optimize projects.**
+
+
+
+
+
+## Quick Start
+
+Try the [**Live Demo**](https://code-graph.falkordb.com/) to see Code Graph in action!
-## Getting Started
-[Live Demo](https://code-graph.falkordb.com/)
+## Prerequisites
-## Run locally
-This project is composed of three pieces:
+Before running locally, ensure you have:
+- Docker installed
+- Python 3.8+ with pip
+- Node.js 16+ with npm
+- OpenAI API key ([get one here](https://platform.openai.com/api-keys))
-1. FalkorDB Graph DB - this is where your graphs are stored and queried
-2. Code-Graph-Backend - backend logic
-3. Code-Graph-Frontend - website
+## Running Locally
-You'll need to start all three components:
+Code Graph consists of three components that work together:
-### Run FalkorDB
+| Component | Purpose | Port |
+|-----------|---------|------|
+| **FalkorDB** | Graph database for storing and querying code relationships | 6379 |
+| **Backend** | API server handling analysis logic | 5000 |
+| **Frontend** | Web interface for visualization | 3000 |
+
+### Step 1: Start FalkorDB
```bash
docker run -p 6379:6379 -it --rm falkordb/falkordb
```
-### Run Code-Graph-Backend
-
-#### Clone the Backend
+### Step 2: Setup Backend
+#### Clone and configure
```bash
git clone https://github.com/FalkorDB/code-graph-backend.git
+cd code-graph-backend
```
-#### Setup environment variables
-
-`SECRET_TOKEN` - user defined token used to authorize the request
-
+#### Set environment variables
```bash
-export FALKORDB_HOST=localhost FALKORDB_PORT=6379 \
- OPENAI_API_KEY= SECRET_TOKEN= \
- FLASK_RUN_HOST=0.0.0.0 FLASK_RUN_PORT=5000
+export FALKORDB_HOST=localhost
+export FALKORDB_PORT=6379
+export OPENAI_API_KEY=
+export SECRET_TOKEN=
+export FLASK_RUN_HOST=0.0.0.0
+export FLASK_RUN_PORT=5000
```
-#### Install dependencies & run
+> **Tip**: Create a `.env` file with these variables for easier management
+#### Install and run
```bash
-cd code-graph-backend
-
pip install --no-cache-dir -r requirements.txt
-
flask --app api/index.py run --debug > flask.log 2>&1 &
-
```
-### Run Code-Graph-Frontend
-
-#### Clone the Frontend
+### Step 3: Setup Frontend
+#### Clone and configure
```bash
git clone https://github.com/FalkorDB/code-graph.git
+cd code-graph
```
-#### Setup environment variables
-
+#### Set environment variables
```bash
-export BACKEND_URL=http://${FLASK_RUN_HOST}:${FLASK_RUN_PORT} \
- SECRET_TOKEN= OPENAI_API_KEY=
+export BACKEND_URL=http://localhost:5000
+export SECRET_TOKEN=
+export OPENAI_API_KEY=
```
-#### Install dependencies & run
-
+#### Install and run
```bash
-cd code-graph
npm install
npm run dev
```
-### Process a local repository
+### Step 4: Analyze Your Code
+
+Once all services are running, analyze a local repository:
+
```bash
-curl -X POST http://127.0.0.1:5000/analyze_folder -H "Content-Type: application/json" -d '{"path": "", "ignore": ["./.github", "./sbin", "./.git","./deps", "./bin", "./build"]}' -H "Authorization: "
+curl -X POST http://127.0.0.1:5000/analyze_folder \
+ -H "Content-Type: application/json" \
+ -H "Authorization: " \
+ -d '{
+ "path": "/path/to/your/repo",
+ "ignore": [
+ "./.github",
+ "./.git",
+ "./node_modules",
+ "./build",
+ "./dist"
+ ]
+ }'
```
-Note: At the moment code-graph can analyze both the C & Python source files.
-Support for additional languages e.g. JavaScript, Go, Java is planned to be added
-in the future.
+Then visit [http://localhost:3000](http://localhost:3000) to view your code graph!
+
+## Configuration
+
+### Environment Variables
+
+| Variable | Description | Required | Default |
+|----------|-------------|----------|---------|
+| `OPENAI_API_KEY` | Your OpenAI API key for code analysis | Yes | - |
+| `SECRET_TOKEN` | Authorization token for API requests | Yes | - |
+| `FALKORDB_HOST` | FalkorDB server hostname | No | localhost |
+| `FALKORDB_PORT` | FalkorDB server port | No | 6379 |
+| `FLASK_RUN_HOST` | Backend server host | No | 0.0.0.0 |
+| `FLASK_RUN_PORT` | Backend server port | No | 5000 |
+
+### Supported Languages
+
+Currently supported:
+- **C/C++**
+- **Python**
+
+Coming soon:
+- **JavaScript/TypeScript**
+- **Go**
+- **Java**
+- **Rust**
+## Contributing
+
+We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+## Support
+
+- **Email**: support@falkordb.com
+- **Discord**: [Join our community](https://discord.gg/falkordb)
+- **Issues**: [GitHub Issues](https://github.com/FalkorDB/code-graph/issues)
+- **Docs**: [Documentation](https://docs.falkordb.com)
+
+---
+
+
+Made with ❤️ by the FalkorDB team
+
+
+### Consider ⭐️ to show your support!
-Browse to [http://localhost:3000](http://localhost:3000)
+code graph, code visualization, codebase analysis, dependency graph, software architecture, code dependencies, graph database, FalkorDB, code analysis tool, source code visualization, project dependencies, code structure analysis, software development tools, code mapping, dependency tracking, code relationships, software visualization, code exploration, development workflow, code insights, static code analysis, code comprehension, software engineering tools, code quality analysis, project structure visualization