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- Rewrote index.md to match README (tagline, badges, Problem/Solution text) - Improved getting-started, concepts, quickstart, installation, faq, use-cases, contributing, glossary, learning-more, examples, modules, architecture, cookbook, deep-dive pages: tighter prose, fixed headings/bullets, removed inconsistencies and duplicate sections - Removed overuse of emojis from headings in integration pages (docling, snowflake) - Fixed change_management reference page: closed unclosed JSON code block that broke the right TOC, demoted noisy sub-headings to bold text - CSS layout: widened content area (max-width 1440px grid, left sidebar 11rem, right TOC narrowed to 11rem for broader content), tightened TOC spacing and font size, fixed word-wrap/overflow on TOC links - Added mkdocs_local.yml for local serving without mkdocs-jupyter plugin Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
170 lines
3.2 KiB
Markdown
170 lines
3.2 KiB
Markdown
# Installation
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Get Semantica installed in under a minute.
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!!! success "Available on PyPI"
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`pip install semantica` — that's it.
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!!! note "Requirements"
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Python 3.8 or higher. Python 3.11+ recommended.
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---
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## Basic Installation
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```bash
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pip install semantica
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```
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With all optional dependencies:
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```bash
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pip install semantica[all]
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```
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### Verify
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```bash
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python -c "import semantica; print(semantica.__version__)"
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```
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---
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## Virtual Environment (Recommended)
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=== "venv"
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```bash
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python -m venv venv
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source venv/bin/activate # Linux / Mac
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venv\Scripts\activate # Windows
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pip install semantica
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```
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=== "conda"
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```bash
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conda create -n semantica python=3.11
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conda activate semantica
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pip install semantica
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```
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---
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## Optional Dependencies
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Install only what you need:
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=== "GPU"
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```bash
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pip install semantica[gpu]
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```
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Includes PyTorch with CUDA, FAISS GPU, CuPy.
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=== "Visualization"
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```bash
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pip install semantica[viz]
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```
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Includes PyVis, Graphviz, UMAP.
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=== "LLM Providers"
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```bash
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pip install semantica[llm-all] # all providers
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pip install semantica[llm-openai] # OpenAI
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pip install semantica[llm-anthropic] # Anthropic
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pip install semantica[llm-gemini] # Google Gemini
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pip install semantica[llm-groq] # Groq
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pip install semantica[llm-ollama] # Ollama (local)
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```
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=== "Cloud"
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```bash
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pip install semantica[cloud]
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```
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Includes AWS S3, Azure Blob, Google Cloud Storage.
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---
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## Install from Source
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For the latest development version or to contribute:
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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 . # core only
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pip install -e ".[all]" # all extras
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pip install -e ".[dev]" # dev tools (pytest, black, etc.)
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```
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If you encounter issues with the PyPI release, install directly from the main branch:
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```bash
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pip install git+https://github.com/Hawksight-AI/semantica.git@main
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```
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---
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## Troubleshooting
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### ModuleNotFoundError
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Check you have the right environment active:
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```bash
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pip list | grep semantica
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pip install --upgrade semantica
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```
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### Installation fails with dependency errors
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```bash
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pip install --upgrade pip
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pip install build wheel
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pip install semantica --no-deps # install without optional deps first
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```
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### GPU dependencies fail
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Install CPU-only first, then add GPU support:
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```bash
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pip install semantica
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pip install semantica[gpu]
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```
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### Permission denied
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```bash
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pip install --user semantica # or use a virtual environment
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```
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### Windows PyTorch DLL errors
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Install the [Microsoft Visual C++ Redistributable](https://aka.ms/vs/17/release/vc_redist.x64.exe). This is a Windows system dependency, not a Semantica bug.
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---
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## System Requirements
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| Component | Minimum | Recommended |
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|-----------|---------|-------------|
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| Python | 3.8 | 3.11+ |
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| OS | Windows / Linux / Mac | Linux / Mac |
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| RAM | 4 GB | 16 GB+ |
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| Storage | 2 GB | 20 GB+ (for models and data) |
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---
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## Next Steps
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- [Getting Started](getting-started.md) — build your first knowledge graph
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- [Quickstart Tutorial](quickstart.md) — full step-by-step pipeline
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- [Cookbook](cookbook.md) — interactive Jupyter notebook tutorials
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