Knowledge Graph Construction
by Community · free · Last verified 2026-03-17
Builds structured knowledge graphs from unstructured text and semi-structured sources through entity recognition, relation extraction, coreference resolution, and entity linking. The resulting graphs power question answering, search, recommendation, and reasoning applications.
https://neo4j.com/docs/ ↗C
C—Below Average
Adoption: B+Quality: AFreshness: ACitations: FEngagement: F
Specifications
- License
- MIT
- Pricing
- free
- Capabilities
- named-entity-recognition, relation-extraction, entity-linking, coreference-resolution, knowledge-base-population
- Integrations
- spaCy, Stanford NLP, Neo4j, Wikidata, OpenIE
- Use Cases
- Enterprise knowledge management from document corpora, Biomedical knowledge graph for drug discovery, E-commerce product attribute extraction
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- NLP, information-extraction, graph-databases
- Supported Agents
- Tags
- knowledge-graph, information-extraction, NLP, entity-linking
- Added
- 2026-03-17
- Completeness
- 87%
Index Score
45Adoption
72
Quality
82
Freshness
80
Citations
1
Engagement
0