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119 lines
3.2 KiB
Markdown
119 lines
3.2 KiB
Markdown
# Getting Started
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## Welcome to Semantica
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**Semantica** is a comprehensive knowledge graph and semantic processing framework designed for building production-ready semantic AI applications.
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### 🎯 What You'll Learn
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- What Semantica is and why it's useful
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- How to install and configure the framework
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- Understanding the framework architecture
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- Key concepts and terminology
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- Next steps for getting started
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---
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## 🚀 What is Semantica?
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Semantica is a powerful, production-ready framework for:
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- **Building Knowledge Graphs**: Transform unstructured data into structured knowledge graphs.
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- **Semantic Processing**: Extract entities, relationships, and meaning from text, images, and audio.
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- **GraphRAG**: Next-generation retrieval augmented generation using knowledge graphs.
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- **Temporal Analysis**: Time-aware knowledge graphs for tracking changes over time.
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- **Multi-Modal Processing**: Handle text, images, audio, and structured data.
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- **Enterprise Features**: Quality assurance, conflict resolution, ontology generation, and more.
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---
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## 💡 Use Cases
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| Domain | Application |
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| :--- | :--- |
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| **Cybersecurity** | Threat intelligence and analysis |
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| **Healthcare** | Medical research and patient data analysis |
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| **Finance** | Fraud detection and financial analysis |
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| **Supply Chain** | Optimization and risk management |
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| **Research** | Knowledge management and literature review |
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| **AI Systems** | Multi-agent memory and reasoning |
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---
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## 📦 Installation & Setup
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### Prerequisites
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Before installing Semantica, ensure you have:
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- **Python 3.8** or higher
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- **pip** package manager
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- (Optional) Virtual environment for isolation
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### Installation Methods
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=== "PyPI (Stable)"
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```bash
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pip install semantica
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```
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=== "Source (Dev)"
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```bash
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git clone https://github.com/Hawksight-AI/semantica.git
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cd semantica
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pip install -e .
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```
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=== "Extras"
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```bash
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pip install semantica[all] # Install all optional dependencies
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pip install semantica[gpu] # Install GPU support
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pip install semantica[visualization] # Install visualization tools
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```
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### Verify Installation
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```python
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import semantica
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print(semantica.version)
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```
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---
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## ⚙️ Configuration
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Semantica can be configured using environment variables or a configuration file.
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### Environment Variables
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```bash
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export SEMANTICA_API_KEY=your_openai_key
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export SEMANTICA_EMBEDDING_PROVIDER=openai
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export SEMANTICA_MODEL_NAME=gpt-4
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```
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### Config File (`config.yaml`)
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```yaml
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api_keys:
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openai: your_key_here
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anthropic: your_key_here
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embedding:
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provider: openai
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model: text-embedding-3-large
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dimensions: 3072
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knowledge_graph:
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backend: networkx # or neo4j, arangodb
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temporal: true
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```
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---
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## ⏭️ Next Steps
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Now that you understand the basics, here are recommended next steps:
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1. **[Your First Knowledge Graph](cookbook/introduction/Your_First_Knowledge_Graph.ipynb)**: Build your first knowledge graph from a document.
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2. **[Configuration Basics](cookbook/introduction/Configuration_Basics.ipynb)**: Set up configuration files and API keys.
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3. **[Core Workflows](cookbook.md#core-workflows)**: Learn common patterns and workflows.
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4. **[Use Cases](cookbook.md#use-cases)**: Explore domain-specific applications.
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