Graphora

Transform unstructured text into powerful knowledge graphs with our revolutionary data engineering platform. Unlock insights hidden in your text data.

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Graphora is open source (MIT)

Self-host the same text-to-graph engine we deploy for enterprise teams. The MIT license lets you use, modify, and build on Graphora freely — including in commercial products — while our consulting practice offers enterprise support, security hardening, and managed delivery.

Read our open source release note.

Rapid ingestion of PDFs, contracts, and PDFs into Neo4j/graph stores.
Schema co-pilot for finance, healthcare, public sector, and consumer goods.

Deploy from GitHub Need enterprise support?

Quick install (docker)

git clone https://github.com/graphora/graphora-api.git
cd graphora-api
cp .env.example .env
make dev-up
open http://localhost:8000

Need Neo4j tuning, observability, or SSO? Our consulting team layers enterprise controls on top of this baseline.

Self-host or engage our consulting team?

Start with the path that fits your capacity today and switch at any time—the Graphora codebase and methodology stay consistent across both.

Self-host Graphora

Best when you have a platform team

✅ Need full control over infra + data residency
✅ Comfortable owning CI/CD and model hosting
✅ Want to prototype quickly with internal resources

Graphora SaaS & Consulting

Best when you need outcomes fast

✅ Looking for domain-specific ontologies + tuning
✅ Need integration with legacy/regulated systems
✅ Want SLAs, governance, and co-delivery experts

Get Started in 5 Minutes

Three ways to go from zero to knowledge graph. Pick the one that fits your workflow.

Try the Demo

30 seconds

Upload a PDF or paste text. Watch AI extract entities and relationships into an interactive graph. No signup required.

Open Demo

Google Colab

2 minutes

Run the quickstart notebook in your browser. Install, extract, query, and visualize -- all in one place.

Open in Colab

CLI / Python

5 minutes

Install from PyPI and start extracting. Just needs a free Gemini API key.

pip install graphora[cli]
graphora config init --api-key "YOUR_KEY"
graphora extract doc.pdf -o graph.json

View on PyPI

How Graphora Compares

Feature	Graphora	LangChain GraphTransformer	Microsoft GraphRAG
Zero-config start	Yes	Partial	No
Auto schema inference	Yes	No	No
Quality validation	Yes	No	No
Human review workflow	Yes	No	No
Visual schema builder	Yes	No	No
Schema chat copilot	Yes	No	No
Entity deduplication	Yes	Partial	Yes

Read the full walkthrough in our quickstart blog post

Powerful Technology

Our Graphora platform leverages cutting-edge NLP and graph technologies

NLP Processing

Advanced natural language processing extracts meaningful entities and relationships from unstructured text with high accuracy.

Graph Construction

Proprietary algorithms transform extracted data into knowledge graphs that preserve context and meaning from the original text.

Query Engine

Powerful querying capabilities enable you to extract insights and discover connections across your entire text corpus.

Our Competitive Edge

What sets our Graphora technology apart from traditional solutions

Adaptive Learning

Our system continuously improves through usage, automatically resolving future ambiguities and conflicts in data interpretation with increasing accuracy.

System Flexibility

Seamlessly integrates with your existing database infrastructure. Our platform is designed to work with virtually any storage system you already have in place.

Enterprise Scalability

Built to handle enterprise-level data volumes. Process millions of documents and complex relationships without performance degradation.

Automation Efficiency

Reduces the need for manual review by over 80%, allowing your team to focus on high-value tasks rather than tedious data validation.

"Our adaptive learning technology combined with a flexible architecture creates a knowledge graph solution that scales effortlessly with your organization's needs."

The Knowledge Graph Challenge

Enterprises face significant obstacles when attempting to harness the power of knowledge graphs

Resource Intensity

Traditional graph creation requires extensive manual effort, making it time-consuming and error-prone, especially at scale.

Information Isolation

Knowledge repositories often remain disconnected due to technical barriers, preventing unified access to organizational wisdom.

Missed Insights

Critical connections between data sources often go undiscovered, leaving valuable business insights buried within unstructured information.

Developer Resources

Everything you need to integrate Graphora into your data pipeline

Documentation

Comprehensive guides and API references for the Graphora platform and client library

Detailed API reference
Core concepts explained
Best practices and guides

View Documentation

Install from PyPI

Install the CLI or Python client directly from PyPI and start extracting knowledge graphs immediately

pip install graphora[cli] for CLI
pip install graphora for Python client
No database or config needed to start

Quickstart Guide

Deploy it yourself via Docker/GitHub or have our consulting team productionize it for you. Either way you control the stack.

Deploy from GitHub Talk to consulting