| Guide | Description |
|---|---|
| Quick Start | Get running in 5 minutes |
| Architecture | System design and components |
| API Reference | REST API documentation |
| Data Dictionary | Database schema reference |
- Development Setup - Environment setup, testing, code quality
- Browser Automation - Using browser-use for automation tasks
- API Examples - cURL and Python usage examples
- Contributing - How to contribute
- Methodology - Scholarly methodology, FAIR principles, citation standards
- PageIndex V3 - GraphRAG pipeline specification
- GraphRAG Convergence - Pipeline convergence analysis
- D3 Graph Engine - Graph visualization design decisions
Each package can be installed independently:
pip install eleutheria-database # Ancient texts corpus
pip install eleutheria-kg # Knowledge graph framework
pip install eleutheria-graphrag # Agentic RAG engineSee the Architecture Overview for how they work together.
docs/
├── INDEX.md # This file
├── CHANGELOG.md # Version history
├── codemeta.json # CodeMeta scholarly metadata
├── guides/
│ └── QUICK_START.md # Getting started
├── architecture/
│ ├── OVERVIEW.md # System design
│ ├── PAGEINDEX_V3.md # GraphRAG pipeline spec
│ ├── graphrag-convergence.md
│ └── d3-graph/ # Graph visualization decisions
├── reference/
│ ├── API.md # REST API docs
│ └── DATA_DICTIONARY.md # Database schema
├── development/
│ ├── SETUP.md # Dev environment
│ └── agents.md # Browser automation
├── academic/
│ └── METHODOLOGY.md # Research methodology
├── examples/
│ ├── curl/ # cURL examples
│ └── python/ # Python examples
├── plans/ # Design documents (internal)
├── reports/ # Audit reports (internal)
└── assets/ # Images, posters