Skip to main content

EleutherIA

https://free-will.app

An AI-powered scholarly research platform for ancient philosophical debates on free will, fate, and moral responsibility

DOI License: CC BY 4.0


What Is EleutherIA?

EleutherIA (from Greek ἐλευθερία, "freedom" -- and IA, French for AI) is a full-stack scholarly research platform that combines a FAIR-compliant knowledge graph, an ancient texts corpus, and an agentic AI reasoning engine to make 1,200 years of philosophical debate on free will searchable, explorable, and queryable.

It spans from the Presocratics (6th c. BCE) to Boethius and the late Church Fathers (6th c. CE), covering Stoics, Epicureans, Peripatetics, Platonists, Pyrrhonists, and Early Christian thinkers, together with their modern reception in contemporary scholarship.

The Problem

The ancient free will debate is scattered across hundreds of Greek and Latin texts, dozens of scholarly traditions, and centuries of interpretive frameworks. A researcher studying Chrysippus's compatibilism must navigate Stoic fragments, Cicero's Latin transmissions, Alexander of Aphrodisias's critiques, and modern reconstructions by Bobzien, Frede, and others. No single tool connects these layers.

The Solution

EleutherIA unifies three systems into one platform:

1. Ancient Texts Corpus -- 242 catalogued works and 21,000+ passages in Greek, Latin, and English with lemmatization, CTS URN referencing, and hierarchical structure from Presocratic fragments to Boethius's Consolation.

2. Knowledge Graph -- 19,992 nodes and 57,377 edges mapping philosophers, concepts, arguments, schools, and works with 76 edge types. A dual-layer architecture separates ancient primary sources from modern scholarly reception.

3. Agentic GraphRAG -- A 12-node reasoning engine (pydantic-graph FSM) that decomposes complex scholarly questions, retrieves evidence across the knowledge graph and text corpus, synthesizes answers with verified citations, and self-evaluates quality, all grounded in actual ancient sources with zero fabrication.

Why It Matters

  • For scholars: Ask multi-hop questions ("How did Chrysippus's cylinder argument respond to Aristotle's critique of determinism, and how does Bobzien reconstruct this exchange?") and get sourced, citation-verified answers.
  • For students: Explore the intellectual networks connecting ancient thinkers through an interactive graph with 3D visualization, timeline analysis, and community detection.
  • For digital humanities: A working example of FAIR-compliant knowledge graph + RAG architecture applied to classical studies, with a full API, multilingual support (EN/FR/DE/IT/EL), and reproducible dataset.

Quick Start

# Clone and configure
git clone https://github.com/romain-girardi-eng/EleutherIA.git
cd EleutherIA
cp .env.example .env
# Add your API key(s) to .env

# Start all services
make run

Access: http://localhost (frontend) | http://localhost:8000/docs (API)

CLI

pip install eleutheria

# Services
eleutheria run              # Start all services (Docker)
eleutheria run -p full      # With monitoring (Prometheus + Grafana)
eleutheria stop             # Stop services
eleutheria status           # Check service health
eleutheria doctor           # Diagnose issues

# Search & Query
eleutheria search "Stoic fate"           # Search knowledge graph
eleutheria ask "What is free will?"      # Ask with GraphRAG
eleutheria ask -t "Complex question"     # Extended reasoning mode

# Explore Data
eleutheria stats            # Database statistics
eleutheria philosophers     # List philosophers
eleutheria concepts         # List concepts
eleutheria works -l grc     # List works by language

# Export
eleutheria export kg        # Export knowledge graph
eleutheria export passages  # Export passages

# Development
eleutheria test all         # Run all tests
eleutheria lint --fix       # Lint + auto-fix
eleutheria quality          # Full quality check

# Quick Access
eleutheria web              # Open free-will.app
eleutheria docs             # Open documentation
eleutheria shell            # Interactive mode

Architecture

EleutherIA/
├── database/       Ancient texts corpus (242 works, 21.1k passages)
├── knowledge graph/  Knowledge graph (19,992 nodes, 57,377 edges)
├── graphrag/       Agentic RAG engine (12-node FSM, multi-LLM)
├── backend/        FastAPI gateway (auth, search, migrations)
├── frontend/       React 19 app (graph viz, search, i18n)
├── cli/            Command-line interface
├── deploy/         Docker Compose and production configs
├── scripts/        Maintenance & data quality tools
└── docs/           Architecture, API reference, examples, methodology

The Three Packages

Package Purpose
database/ Ancient Greek/Latin texts corpus with PostgreSQL, lemmatization, and hybrid text search (full-text + lemmatic, merged via RRF)
knowledge graph/ FAIR-compliant knowledge graph with community detection, centrality analytics, a formal ontology (24 node types, 76 edge types), and a neurosymbolic layer (RDF/OWL/SHACL exports aligned on CIDOC-CRM, FOAF, SKOS, Dublin Core, PROV-O, BIBO, Wikidata)
graphrag/ Agentic query engine: 12-node pydantic-graph FSM with vectorless SQL/tree/lemma discovery, multi-hop retrieval, CRAG validation, reranking, citation verification, and self-RAG refinement

Each package can be installed and used independently.

Key Capabilities

Capability Details
Agentic reasoning 12-node finite state machine routes queries by complexity, decomposes multi-hop questions, and iteratively refines answers
Multi-LLM orchestration Gemini (gemini-3.1-pro-preview, 1M token context) + Kimi K2.5 Thinking (extended reasoning) + OpenRouter fallback with automatic failover
Hybrid search Full-text (PostgreSQL ts_rank) + lemmatic (Greek/Latin morphology), merged via Reciprocal Rank Fusion
Citation verification Post-generation check that every citation maps to an actual passage in the database; zero tolerance for fabricated ancient text
Neurosymbolic reasoning OWL2-RL forward-chaining (inverse + transitive closure on part_of/contains/belongs_to_corpus) materialises ~40k inferred facts in <1 s; SHACL validation gate catches data invariants on every snapshot; claim ledger carries proof chains showing how each inferred fact was derived
FAIR / Linked Data export One-command Turtle, JSON-LD, and N-Triples export of the full KG (560,110 RDF triples, including per-edge provenance reification and a VoID/DCAT dataset description) aligned on CIDOC-CRM, FOAF, SKOS, Dublin Core, PROV-O, BIBO; persistent dereferenceable IRIs under https://free-will.app/kg/
Interactive visualization Cosmograph GPU-accelerated graph (20k+ nodes), D3.js timelines, curated 3D concept maps, community detection overlays
Dual-layer KG Primary layer (ancient sources) separated from secondary layer (modern scholarship), enabling source-vs-interpretation distinction
Internationalization Full UI in English, French, German, Italian, and Modern Greek
Streaming answers Server-Sent Events for real-time answer generation with source attribution

Tech Stack

Layer Technologies
Backend FastAPI, Python 3.11+, PostgreSQL 16, Alembic
Frontend React 19, TypeScript, Vite, Tailwind CSS, Cosmograph, D3.js, Three.js, Framer Motion, react-i18next
LLM Gemini (gemini-3.1-pro-preview, primary), Kimi K2.5 Thinking (extended reasoning), OpenRouter (fallback)
Search PostgreSQL GIN indexes, lemmatic indexes, tree routing, passage_citations, Reciprocal Rank Fusion
Deployment Docker Compose (local), Docker Compose + Cloudflare tunnel (production API, worker, public SPARQL), hosted SPA at free-will.app
Quality Ruff, mypy, ESLint, Vitest, pytest (330+ tests), pre-commit hooks

Statistics

Counts are generated from the dataset snapshots by scripts/gen_stats.py (see data/stats.json).

Metric Count
Knowledge graph nodes 19,992
Knowledge graph edges 57,377
Ancient works 242
Text passages 21,088
Node types 24
Edge types 75
RDF triples (v5.1.0 release export) 560,110
Passage citations 19,893
Supported languages 5 (EN, FR, DE, IT, EL)

Documentation

Full documentation is available in the docs/ folder:

Citation

@software{girardi2026eleutheria,
  author       = {Girardi, Romain},
  title        = {EleutherIA: An AI-Powered Scholarly Research Platform
                   for Ancient Philosophy on Free Will},
  year         = 2026,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.17379489},
  url          = {https://doi.org/10.5281/zenodo.17379489}
}

License

CC BY 4.0 -- See LICENSE

Links

Metadata

Release files for eleutheria 5.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for eleutheria 5.2.0
File Size Uploaded
eleutheria-5.2.0.tar.gz 200.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for eleutheria 5.2.0
File Interpreter ABI Platform
eleutheria-5.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 427.1 kB

Release files / eleutheria-5.2.0.tar.gz

Download URL eleutheria-5.2.0.tar.gz
Size 200.7 kB
Tags Source
SHA-256 checksum
How to use checksums
080f2a33b69557aafb80a872e80fc0df2464000dfa9f63dc1fbcd6a6c10dcb26
BLAKE2b-256 checksum
How to use checksums
9eed297f74949713ea2aa7835ac76a23d70e0393769187798d7792f197e85aba
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 17, 2026.

Transparency log

Release files / eleutheria-5.2.0-py3-none-any.whl

Download URL eleutheria-5.2.0-py3-none-any.whl
Size 226.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
c21ee67ab87357a765d46d400e78e181cf562fcfd57a526eefcb265d2089f465
BLAKE2b-256 checksum
How to use checksums
1c047c0d330bd5e217ba39662ff687f28b456f276003f9b1b6cdab762b443aeb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Aug 17, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

5.2.0 This release

2 release files

1.1.3

2 release files

1.1.2

2 release files

1.1.1

2 release files

1.1.0

2 release files

1.0.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page