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Use Cases Real-world applications of Semantica across domains, with linked cookbook notebooks for each. briefcase

Overview

Use Case Domain Difficulty Estimated Time
Biomedical Knowledge Graphs Healthcare Intermediate 12 hours
Financial Data Integration Finance Intermediate 12 hours
Fraud Detection Finance Advanced 23 hours
Blockchain Analytics Finance Intermediate 12 hours
Cybersecurity Threat Intelligence Security Advanced 23 hours
Criminal Network Analysis Security / Intelligence Intermediate 12 hours
Intelligence Analysis Orchestrator Intelligence Intermediate 12 hours
Supply Chain Optimization Operations Intermediate 12 hours
Renewable Energy Management Energy Intermediate 12 hours
GraphRAG AI Advanced 12 hours

Difficulty levels:

  • Beginner — basic Semantica knowledge only
  • Intermediate — some domain knowledge helpful
  • Advanced — domain expertise + advanced Semantica features

Research & Science

Biomedical Knowledge Graphs

Connect genes, proteins, drugs, and diseases from scientific literature and databases to accelerate drug discovery and understand disease pathways.

Cookbooks:


Finance & Trading

Financial Data Integration

Unify financial data from APIs, MCP servers, and real-time streams into a single queryable knowledge graph.

Cookbook: Financial Data Integration (MCP) — Alpha Vantage API, MCP servers, seed data, real-time ingestion

Fraud Detection

Detect complex fraud rings using temporal graphs and pattern detection over transaction, device, and user data.

Cookbook: Fraud Detection — temporal KGs, cycle detection, fraud pattern analysis

Blockchain Analytics

Map transaction flows, analyze DeFi protocols, and detect illicit activity across wallet and exchange networks.

Cookbooks:


Security & Intelligence

Cybersecurity Threat Intelligence

Ingest threat feeds (CVE databases, security RSS), detect anomalies in streaming data, and build threat intelligence knowledge graphs for proactive defense.

Cookbooks:

Criminal Network Analysis

Build knowledge graphs from police reports, court records, and OSINT feeds to identify key players, communities, and suspicious patterns using network centrality analysis.

Cookbook: Criminal Network Analysis

Intelligence Analysis Orchestrator

Process multiple intelligence sources in parallel using an orchestrator-worker pipeline pattern with multi-source conflict detection and integration.

Cookbook: Intelligence Analysis Orchestrator-Worker


Industry & Operations

Supply Chain Optimization

Map suppliers, logistics routes, and inventory levels to identify bottlenecks and optimize global supply chains.

Cookbook: Supply Chain Data Integration

Renewable Energy Management

Connect sensor data, weather forecasts, and maintenance logs to predict equipment failures and optimize grid operations.

Cookbook: Energy Market Analysis


Advanced AI Patterns

GraphRAG (Graph-Augmented Generation)

Use knowledge graphs to retrieve precise, structured context for LLM responses — with hybrid retrieval, logical inference, and source attribution.

Cookbooks:


Next Steps

Full notebook catalog organized by topic and difficulty. Every module with examples. Complete technical documentation. Have a use case to add? [Open a PR](https://github.com/semantica-agi/semantica) or start a discussion on GitHub.