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https://github.com/semantica-agi/semantica.git
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Mohd Kaif
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- Fix What's new → link in Info banner (now a proper <a> tag, always clickable) - Replace 4-stat CardGroup on index with inline premium stats row - Convert every <CardGroup>/<Card> block site-wide to markdown bullet lists: content sections → bold-title bullets with sub-bullets, nav cards → [Title](href) — description - Add cursor-animated list item hover effects to custom.css: green inset left border, subtle background tint, marker color change on hover - Affects index, getting-started, quickstart, concepts, modules, faq, architecture, installation, cookbook, glossary, learning-more, explorer-setup, cli-setup, community, contributing-guide, governance, citation, project-license, all integrations pages, and all 20+ reference module pages
121 lines
5.2 KiB
Markdown
121 lines
5.2 KiB
Markdown
---
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title: "Community Projects"
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description: "Projects, extensions, and integrations built by the Semantica community."
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icon: "people-group"
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---
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<Tip>
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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.
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</Tip>
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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.
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## Projects Using Semantica
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### Research & Academia
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Teams in academia are using Semantica to build structured, auditable knowledge from unstructured scientific literature.
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- **Academic literature mapping**: citation graph construction across multi-year corpora with temporal provenance
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- **Biomedical knowledge graphs**: connecting genes, proteins, drugs, and diseases from PubMed and preprint feeds
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- **Social network analysis**: community detection and influence analysis over entity-linked interaction graphs
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- **Computational linguistics**: coreference resolution pipelines with entity-linked output for downstream NLP tasks
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### Enterprise & Industry
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Production deployments span regulated and high-stakes industries where AI accountability is not optional.
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- **Business intelligence**: corporate knowledge bases built from filings, reports, and internal documentation
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- **Cybersecurity & threat intelligence**: adversary attribution graphs, CVE-linked threat feeds, incident timelines
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- **Healthcare & clinical AI**: patient safety graphs, drug interaction knowledge bases, HIPAA-compliant audit trails
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- **Financial services**: fraud detection graphs, regulatory compliance pipelines (SOX/GDPR/MiFID II), risk lineage
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- **Legal & compliance**: contract analysis pipelines, regulatory change tracking, evidence-backed research graphs
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- **Critical infrastructure**: supply chain risk graphs, energy grid event graphs, logistics provenance
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### Independent & Open Source
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- **GraphRAG toolkits**: custom retrieval layers built on top of Semantica's `context` + `vector_store` modules
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- **Domain-specific extractors**: NER and relation extractors for clinical, legal, and scientific text
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- **Temporal graph dashboards**: visual timelines built with Semantica's `TemporalKnowledgeGraph` + custom visualization adapters
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## Supported Integrations
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<Tabs>
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<Tab title="Vector Databases">
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| Store | Notes |
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| :---- | :---- |
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| **FAISS** | In-process, CPU/GPU |
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| **Pinecone** | Managed vector cloud |
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| **Weaviate** | Schema-first hybrid search |
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| **Qdrant** | High-performance Rust-native |
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| **Milvus** | Enterprise-scale distributed |
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| **PgVector** | Postgres-native for SQL stacks |
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</Tab>
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<Tab title="Graph Databases">
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| Store | Notes |
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| :---- | :---- |
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| **Neo4j** | Industry standard, Cypher query |
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| **FalkorDB** | Redis-protocol, low-latency |
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| **Apache AGE** | PostgreSQL extension, OpenCypher |
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| **Amazon Neptune** | Managed AWS, SPARQL + Gremlin |
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</Tab>
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<Tab title="LLM Providers">
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| Provider | Notes |
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| :-------- | :---- |
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| **OpenAI** | GPT-4o, GPT-4, GPT-3.5 |
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| **Anthropic** | Claude Opus, Sonnet, Haiku |
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| **Google Gemini** |: |
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| **Groq** | LLaMA, Mixtral: fast inference |
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| **Ollama** | Fully local, air-gapped |
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| **HuggingFace** |: |
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| **DeepSeek** |: |
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| **Novita AI** |: |
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| **LiteLLM** | 100+ model gateway |
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</Tab>
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<Tab title="NLP Libraries">
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| Library | Notes |
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| :------- | :---- |
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| **spaCy** | Production NER and dependency parsing |
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| **NLTK** | Tokenization and feature extraction |
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| **Sentence Transformers** | Semantic embeddings |
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| **FastEmbed** | Lightweight, fast inference |
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</Tab>
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</Tabs>
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## Community Extensions
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The plugin system (`PluginRegistry`) makes it easy to add new capabilities without touching core code. The community has built:
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- **Custom entity extractors**: domain-specific NER for clinical entities, legal clause types, and financial instruments
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- **Export adapters**: specialized serialization formats for proprietary industry systems
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- **Ingestor plugins**: adapters for SharePoint, Notion, Confluence, and custom databases
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- **Visualization plugins**: enhanced dashboards with Plotly, D3.js, and custom graph renderers
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- **Evaluation harnesses**: domain-specific precision/recall benchmarks using `semantica.evals`
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## Build Your Own Extension
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Any Semantica component can be extended via the registry pattern:
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```python
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from semantica.ingest.registry import method_registry
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def my_ingestor(source):
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return [{"text": "...", "metadata": {}, "source": source}]
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method_registry.register("file", "my_format", my_ingestor)
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```
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See [Architecture](architecture#extension-points) for the full extension guide.
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## How to Contribute
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- [Contributing Guide](contributing-guide) — Submit code, documentation, tests, or cookbook notebooks.
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- [GitHub Issues](https://github.com/semantica-agi/semantica/issues) — Report bugs, request features, or propose integrations.
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- [Discord](https://discord.gg/sV34vps5hH) — Share what you're building with the community.
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- [GitHub Discussions](https://github.com/semantica-agi/semantica/discussions) — Long-form questions, design discussions, and ideas.
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