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Installation

Get Semantica up and running in minutes.

Now Available on PyPI!

Semantica is officially published on PyPI! Install it with a single command: pip install semantica

System Requirements

Semantica requires Python 3.8 or higher. For best performance, we recommend Python 3.10+.

Prerequisites

Before installing Semantica, ensure you have:

  • Python 3.8 or higher - Check your version:
    python --version
    
  • pip - Python package installer (usually comes with Python)

Basic Installation

Install Semantica from PyPI:

pip install semantica

This installs Semantica with all core dependencies.

Virtual Environment

We recommend installing Semantica in a virtual environment to avoid dependency conflicts. Use python -m venv venv to create one, then activate it before installing.

Verify Installation

Verify that Semantica is installed correctly:

python -c "import semantica; print(semantica.__version__)"

Expected output:

0.1.0

You can also check the installation:

pip show semantica

Development Installation

To install Semantica in development mode (for contributing):

# Clone the repository
git clone https://github.com/Hawksight-AI/semantica.git
cd semantica

# Install in editable mode
pip install -e .

# Or install with development dependencies
pip install -e ".[dev]"

Optional Dependencies

Semantica supports optional features that can be installed separately:

GPU Support

For GPU-accelerated operations:

pip install semantica[gpu]

This includes: - PyTorch with CUDA support - FAISS GPU - CuPy

Visualization

For enhanced visualization capabilities:

pip install semantica[viz]

Includes: - PyVis for interactive graphs - Graphviz for static diagrams - UMAP for dimensionality reduction

LLM Providers

Install all LLM provider integrations:

pip install semantica[llm-all]

Or install specific providers:

# OpenAI
pip install semantica[llm-openai]

# Anthropic
pip install semantica[llm-anthropic]

# Google Gemini
pip install semantica[llm-gemini]

# Groq
pip install semantica[llm-groq]

# Ollama
pip install semantica[llm-ollama]

Cloud Integrations

For cloud storage and deployment:

pip install semantica[cloud]

Includes: - AWS S3 (boto3) - Azure Blob Storage - Google Cloud Storage - Kubernetes support

All Optional Features

Install everything:

pip install semantica[all]

It's recommended to use a virtual environment:

# Create virtual environment
python -m venv venv

# Activate (Windows)
venv\Scripts\activate

# Activate (Linux/Mac)
source venv/bin/activate

# Install Semantica
pip install semantica
# Create conda environment
conda create -n semantica python=3.11
conda activate semantica

# Install Semantica
pip install semantica

Troubleshooting

Common Issues

ModuleNotFoundError

Error: ModuleNotFoundError: No module named 'semantica'

Solutions: - Make sure you've activated the correct Python environment - Verify installation: pip list | grep semantica - Reinstall: pip install --upgrade semantica

Installation Fails

Error: Installation fails with dependency errors

Solutions: - Upgrade pip: pip install --upgrade pip - Install build tools: pip install build wheel - Try installing without optional dependencies first: pip install semantica --no-deps

GPU Dependencies Fail

Error: GPU dependencies fail to install

Solutions: - Install CPU-only version first: pip install semantica - Then add GPU support: pip install semantica[gpu] - Check CUDA compatibility for your system

Permission Errors

Error: Permission denied during installation

Solutions: - Use --user flag: pip install --user semantica - Use virtual environment (recommended) - On Linux/Mac, avoid using sudo with pip

System Requirements

Component Minimum Recommended
Python 3.8 3.11+
RAM Moderate Ample for your dataset
Disk Space Sufficient for data Generous storage
OS Windows/Linux/Mac Linux/Mac

After Installation

Once Semantica is installed, verify your setup and get started:

Verify Your Installation

Test that everything works correctly:

python -c "import semantica; print(semantica.__version__)"

For detailed setup verification and first steps, see: - Welcome to Semantica Cookbook: Verify installation and explore all modules - Topics: Framework overview, installation verification, module exploration - Difficulty: Beginner - Time: 30-45 minutes - Use Cases: First-time setup, understanding the framework

Next Steps

Now that Semantica is installed:

  1. Quick Start Guide - Build your first knowledge graph in 5 minutes
  2. Getting Started Guide - Learn the fundamentals
  3. Examples - See real-world use cases
  4. Cookbook - Interactive Jupyter notebook tutorials

Start with these interactive tutorials:

  • Welcome to Semantica: Comprehensive introduction
  • Topics: Framework overview, all modules, architecture, configuration
  • Difficulty: Beginner
  • Time: 30-45 minutes
  • Use Cases: First-time users, understanding the framework

  • Your First Knowledge Graph: Build your first graph

  • Topics: Entity extraction, relationship extraction, graph construction
  • Difficulty: Beginner
  • Time: 20-30 minutes
  • Use Cases: Hands-on practice, quick start

Getting Help

If you encounter issues:

For installation and setup help: - Welcome to Semantica Cookbook: Includes setup verification steps - Installation Troubleshooting Guide: Additional troubleshooting tips