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Community Projects Projects, extensions, and integrations built by the Semantica community. people-group
Building something with Semantica? [Submit it on GitHub](https://github.com/semantica-agi/semantica/issues/new?template=community_project.md): we'd love to feature it here.

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

| Store | Notes | | :---- | :---- | | **FAISS** | In-process, CPU/GPU | | **Pinecone** | Managed vector cloud | | **Weaviate** | Schema-first hybrid search | | **Qdrant** | High-performance Rust-native | | **Milvus** | Enterprise-scale distributed | | **PgVector** | Postgres-native for SQL stacks | | Store | Notes | | :---- | :---- | | **Neo4j** | Industry standard, Cypher query | | **FalkorDB** | Redis-protocol, low-latency | | **Apache AGE** | PostgreSQL extension, OpenCypher | | **Amazon Neptune** | Managed AWS, SPARQL + Gremlin | | Provider | Notes | | :-------- | :---- | | **OpenAI** | GPT-4o, GPT-4, GPT-3.5 | | **Anthropic** | Claude Opus, Sonnet, Haiku | | **Google Gemini** |: | | **Groq** | LLaMA, Mixtral: fast inference | | **Ollama** | Fully local, air-gapped | | **HuggingFace** |: | | **DeepSeek** |: | | **Novita AI** |: | | **LiteLLM** | 100+ model gateway | | Library | Notes | | :------- | :---- | | **spaCy** | Production NER and dependency parsing | | **NLTK** | Tokenization and feature extraction | | **Sentence Transformers** | Semantic embeddings | | **FastEmbed** | Lightweight, fast inference |

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:

from semantica.ingest.registry import method_registry

def my_ingestor(source):
    return [{"text": "...", "metadata": {}, "source": source}]

method_registry.register("file", "my_format", my_ingestor)

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.