semantica/docs/community-projects.md

title, description, icon

title	description	icon
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

Submit code, documentation, tests, or cookbook notebooks. Report bugs, request features, or propose integrations. Share what you're building with the community. Long-form questions, design discussions, and ideas.