Use Cases¶

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

Overview¶

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: - Drug Discovery Pipeline — PubMed RSS ingestion, entity-aware chunking, GraphRAG, vector similarity search - Genomic Variant Analysis — bioRxiv RSS, temporal KGs, deduplication, pathway analysis

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: - DeFi Protocol Intelligence - Transaction Network Analysis

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: - Real-Time Anomaly Detection - Threat Intelligence Hybrid RAG

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: - GraphRAG Complete — production-ready implementation - RAG vs. GraphRAG Comparison — side-by-side comparison

Next Steps¶

• Cookbook — full notebook catalog organized by topic and difficulty
• Modules Guide — every module with examples
• API Reference — complete technical documentation