mirror of
https://github.com/semantica-agi/semantica.git
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KaifAhmad1
9113ef3428
- Rewrote all 26 reference module pages: removed blockquote taglines and horizontal rule separators, added "What You Get" bullet summaries, added constructor/method parameter tables, expanded thin files (graph_store, triplet_store, visualization, provenance) with full API coverage, added backend comparison tables and real-world usage patterns - Renamed Modules tab from "API Reference" and group from "Context & Knowledge" to "Context & Intelligence" in docs.json - Fixed logo: copied "Semantica Logo.png" to web-safe semantica-logo.png and updated all 4 references in docs.json - Improved core docs (index, modules, concepts, quickstart, installation, getting-started) with better fonts, bullet points, and complete module listings (mcp_server, evals, core, utils previously missing) - Rewrote community pages (community, community-projects, contributing-guide, use-cases, architecture, faq, learning-more, glossary) with heading hierarchy fixes, expanded definitions, and better structure - Fixed markdown linter warnings: MD036 bold-as-heading, MD001 heading skips, MD040 missing code fence language, MD032 blank lines around lists
119 lines
5.0 KiB
Markdown
119 lines
5.0 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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### Vector Databases
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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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### Graph Databases
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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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### LLM Providers
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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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### NLP Libraries
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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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## 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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<CardGroup cols={2}>
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<Card title="Contributing Guide" icon="code-pull-request" href="contributing-guide">
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Submit code, documentation, tests, or cookbook notebooks.
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</Card>
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<Card title="GitHub Issues" icon="circle-dot" href="https://github.com/semantica-agi/semantica/issues">
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Report bugs, request features, or propose integrations.
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</Card>
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<Card title="Discord" icon="discord" href="https://discord.gg/sV34vps5hH">
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Share what you're building with the community.
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</Card>
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<Card title="GitHub Discussions" icon="comments" href="https://github.com/semantica-agi/semantica/discussions">
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Long-form questions, design discussions, and ideas.
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</Card>
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</CardGroup>
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