Knowledge Graph Builder
by Community · open-source · Last verified 2026-03-17
Automatically constructs a knowledge graph from unstructured text by extracting subject-predicate-object triples using an LLM, then serializing them to RDF/OWL or property-graph formats. Supports ontology alignment, duplicate merging via entity resolution, and Turtle/JSON-LD export.
https://github.com/microsoft/graphrag ↗C+
C+—Average
Adoption: BQuality: AFreshness: ACitations: C+Engagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- triple-extraction, ontology-alignment, entity-resolution, rdf-export
- Integrations
- rdflib, openai, spacy, networkx
- Use Cases
- scientific-knowledge-curation, product-catalog-enrichment, historical-data-structuring
- API Available
- No
- Language
- python
- Dependencies
- rdflib, openai, spacy, networkx, pydantic
- Environment
- Python 3.10+
- Est. Runtime
- 5-20 minutes per 1000 documents
- Tags
- knowledge-graph, entity-extraction, triple-extraction, rdf, owl
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
53Adoption
60
Quality
80
Freshness
83
Citations
52
Engagement
0