# Getting Started

## Welcome to Semantica

**Semantica** is a comprehensive knowledge graph and semantic processing framework designed for building production-ready semantic AI applications.

### 🎯 What You'll Learn
- What Semantica is and why it's useful
- How to install and configure the framework
- Understanding the framework architecture
- Key concepts and terminology
- Next steps for getting started

---

## 🚀 What is Semantica?

Semantica is a powerful, production-ready framework for:

- **Building Knowledge Graphs**: Transform unstructured data into structured knowledge graphs.
- **Semantic Processing**: Extract entities, relationships, and meaning from text, images, and audio.
- **GraphRAG**: Next-generation retrieval augmented generation using knowledge graphs.
- **Temporal Analysis**: Time-aware knowledge graphs for tracking changes over time.
- **Multi-Modal Processing**: Handle text, images, audio, and structured data.
- **Enterprise Features**: Quality assurance, conflict resolution, ontology generation, and more.

---

## 💡 Use Cases

| Domain | Application |
| :--- | :--- |
| **Cybersecurity** | Threat intelligence and analysis |
| **Healthcare** | Medical research and patient data analysis |
| **Finance** | Fraud detection and financial analysis |
| **Supply Chain** | Optimization and risk management |
| **Research** | Knowledge management and literature review |
| **AI Systems** | Multi-agent memory and reasoning |

---

## 📦 Installation & Setup

### Prerequisites
Before installing Semantica, ensure you have:
- **Python 3.8** or higher
- **pip** package manager
- (Optional) Virtual environment for isolation

### Installation Methods

=== "PyPI (Stable)"
    ```bash
    pip install semantica
    ```

=== "Source (Dev)"
    ```bash
    git clone https://github.com/Hawksight-AI/semantica.git
    cd semantica
    pip install -e .
    ```

=== "Extras"
    ```bash
    pip install semantica[all]           # Install all optional dependencies
    pip install semantica[gpu]           # Install GPU support
    pip install semantica[visualization] # Install visualization tools
    ```

### Verify Installation

```python
import semantica
print(semantica.version)
```

---

## ⚙️ Configuration

Semantica can be configured using environment variables or a configuration file.

### Environment Variables

```bash
export SEMANTICA_API_KEY=your_openai_key
export SEMANTICA_EMBEDDING_PROVIDER=openai
export SEMANTICA_MODEL_NAME=gpt-4
```

### Config File (`config.yaml`)

```yaml
api_keys:
  openai: your_key_here
  anthropic: your_key_here

embedding:
  provider: openai
  model: text-embedding-3-large
  dimensions: 3072

knowledge_graph:
  backend: networkx # or neo4j, arangodb
  temporal: true

graph_store:
  backend: neo4j # or falkordb
  neo4j_uri: bolt://localhost:7687
  neo4j_user: neo4j
  neo4j_password: password
```

---

## ⏭️ Next Steps

Now that you understand the basics, here are recommended next steps:

1. **[Your First Knowledge Graph](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/08_Your_First_Knowledge_Graph.ipynb)**: Build your first knowledge graph from a document.
2. **[Welcome to Semantica](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/01_Welcome_to_Semantica.ipynb)**: Learn the framework basics and configuration.
3. **[Core Workflows](cookbook.md#core-tutorials)**: Learn common patterns and workflows.
4. **[Use Cases](cookbook.md#industry-use-cases)**: Explore domain-specific applications.
