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Semantica is used across academia, enterprise, and independent research. Below is a snapshot of the ecosystem being built by the community.

Projects Using Semantica

Research & Academia

Teams in academia are using Semantica to build structured, auditable knowledge from unstructured scientific literature.
  • Academic literature mapping: citation graph construction across multi-year corpora with temporal provenance
  • Biomedical knowledge graphs: connecting genes, proteins, drugs, and diseases from PubMed and preprint feeds
  • Social network analysis: community detection and influence analysis over entity-linked interaction graphs
  • Computational linguistics: coreference resolution pipelines with entity-linked output for downstream NLP tasks

Enterprise & Industry

Production deployments span regulated and high-stakes industries where AI accountability is not optional.
  • Business intelligence: corporate knowledge bases built from filings, reports, and internal documentation
  • Cybersecurity & threat intelligence: adversary attribution graphs, CVE-linked threat feeds, incident timelines
  • Healthcare & clinical AI: patient safety graphs, drug interaction knowledge bases, HIPAA-compliant audit trails
  • Financial services: fraud detection graphs, regulatory compliance pipelines (SOX/GDPR/MiFID II), risk lineage
  • Legal & compliance: contract analysis pipelines, regulatory change tracking, evidence-backed research graphs
  • Critical infrastructure: supply chain risk graphs, energy grid event graphs, logistics provenance

Independent & Open Source

  • GraphRAG toolkits: custom retrieval layers built on top of Semantica’s context + vector_store modules
  • Domain-specific extractors: NER and relation extractors for clinical, legal, and scientific text
  • Temporal graph dashboards: visual timelines built with Semantica’s TemporalKnowledgeGraph + custom visualization adapters

Supported Integrations

Community Extensions

The plugin system (PluginRegistry) makes it easy to add new capabilities without touching core code. The community has built:
  • Custom entity extractors: domain-specific NER for clinical entities, legal clause types, and financial instruments
  • Export adapters: specialized serialization formats for proprietary industry systems
  • Ingestor plugins: adapters for SharePoint, Notion, Confluence, and custom databases
  • Visualization plugins: enhanced dashboards with Plotly, D3.js, and custom graph renderers
  • Evaluation harnesses: domain-specific precision/recall benchmarks using semantica.evals

Build Your Own Extension

Any Semantica component can be extended via the registry pattern:
See Architecture for the full extension guide.

How to Contribute

  • Contributing Guide — Submit code, documentation, tests, or cookbook notebooks.
  • GitHub Issues — Report bugs, request features, or propose integrations.
  • Discord — Share what you’re building with the community.
  • GitHub Discussions — Long-form questions, design discussions, and ideas.