mirror of
https://github.com/semantica-agi/semantica.git
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KaifAhmad1
04eea7e7eb
- Reduced code examples in all guide pages (getting-started, quickstart, concepts, modules, examples, use-cases, learning-more) - Added comprehensive cookbook links with descriptions (topics, difficulty, time, use cases) - Improved structure and organization across all guide pages - Updated use-cases.md to only include use cases with corresponding cookbooks - Removed 'Last Updated: 2024' from all documentation files - Enhanced navigation with better 'Next Steps' sections
211 lines
10 KiB
Markdown
211 lines
10 KiB
Markdown
# Use Cases
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Semantica is designed to solve complex data challenges across various domains. This guide explores common use cases and how to implement them.
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!!! info "About This Guide"
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This guide provides detailed implementation guides for real-world use cases, complete with code examples, prerequisites, and step-by-step instructions.
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---
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## Use Case Comparison
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| Use Case | Difficulty | Time | Domain | Key Features | Cookbook |
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| :-------------------------------- | :------------ | :---------- | :---------- | :---------------------------------------------- | :------------------------------------------ |
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| **Biomedical Knowledge Graphs** | Intermediate | 1-2 hours | Healthcare | Gene-protein-disease relationships | Drug Discovery, Genomic Variant Analysis |
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| **Financial Data Integration** | Intermediate | 1-2 hours | Finance | MCP integration, real-time data | Financial Data Integration MCP |
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| **Fraud Detection** | Advanced | 2-3 hours | Finance | Temporal graphs, pattern detection | Fraud Detection |
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| **Blockchain Analytics** | Intermediate | 1-2 hours | Finance | Transaction tracing, DeFi intelligence | DeFi Protocol Intelligence, Transaction Network |
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| **Cybersecurity Threat Intelligence**| Advanced | 2-3 hours | Security | Threat mapping, anomaly detection | Real-Time Anomaly Detection, Threat Intelligence |
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| **Intelligence Analysis** | Intermediate | 1-2 hours | Security | Criminal networks, OSINT analysis | Criminal Network Analysis, Intelligence Orchestrator |
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| **Supply Chain Optimization** | Intermediate | 1-2 hours | Industry | Data integration, route optimization | Supply Chain Data Integration |
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| **Renewable Energy Management** | Intermediate | 1-2 hours | Energy | Energy market analysis, optimization | Energy Market Analysis |
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| **GraphRAG** | Advanced | 1-2 hours | AI | Enhanced RAG with knowledge graphs | GraphRAG Complete, RAG vs GraphRAG |
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**Difficulty Levels**:
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- **Beginner**: Basic Semantica knowledge required
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- **Intermediate**: Some domain knowledge helpful
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- **Advanced**: Requires domain expertise and advanced Semantica features
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---
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## Research & Science
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<div class="grid cards" markdown>
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- :material-dna: **Biomedical Knowledge Graphs**
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---
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Accelerate drug discovery and understand disease pathways by connecting genes, proteins, drugs, and diseases.
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**Goal**: Connect genes, proteins, drugs, and diseases from scientific literature and databases.
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**Difficulty**: Intermediate
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[:material-arrow-right: Drug Discovery Pipeline](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/biomedical/01_Drug_Discovery_Pipeline.ipynb)
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[:material-arrow-right: Genomic Variant Analysis](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/biomedical/02_Genomic_Variant_Analysis.ipynb)
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</div>
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### Biomedical Knowledge Graphs Implementation
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**Prerequisites**:
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- Domain knowledge of biomedical concepts
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- Access to biomedical literature/databases
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**Implementation Guides:**
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- **[Drug Discovery Pipeline Cookbook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/biomedical/01_Drug_Discovery_Pipeline.ipynb)**: Build knowledge graphs from PubMed RSS feeds
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- **Topics**: PubMed RSS ingestion, entity-aware chunking, GraphRAG, vector similarity search
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- **Difficulty**: Intermediate
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- **Time**: 1-2 hours
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- **Use Cases**: Drug discovery, biomedical research
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- **[Genomic Variant Analysis Cookbook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/biomedical/02_Genomic_Variant_Analysis.ipynb)**: Analyze genomic variants using temporal knowledge graphs
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- **Topics**: bioRxiv RSS, temporal KGs, deduplication, pathway analysis
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- **Difficulty**: Intermediate
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- **Time**: 1-2 hours
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- **Use Cases**: Genomic research, variant analysis
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---
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## Finance & Trading
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<div class="grid cards" markdown>
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- :material-finance: **Financial Data Integration**
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---
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Integrate financial data from multiple sources using MCP servers and real-time ingestion.
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**Goal**: Connect Alpha Vantage API, MCP servers, seed data, and real-time ingestion for comprehensive financial analysis.
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[:material-arrow-right: View Cookbook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/01_Financial_Data_Integration_MCP.ipynb)
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- :material-shield-alert: **Fraud Detection**
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Detect complex fraud rings using temporal knowledge graphs and pattern detection.
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**Goal**: Build a graph of Users, Devices, IP Addresses, and Transactions to find cycles and detect fraud patterns.
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[:material-arrow-right: View Cookbook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/02_Fraud_Detection.ipynb)
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- :material-bitcoin: **Blockchain Analytics**
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Analyze DeFi protocols and transaction networks for intelligence and fraud detection.
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**Goal**: Map transaction flows between wallets and exchanges, analyze DeFi protocols, and detect illicit activity.
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[:material-arrow-right: DeFi Protocol Intelligence](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/blockchain/01_DeFi_Protocol_Intelligence.ipynb)
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[:material-arrow-right: Transaction Network Analysis](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/blockchain/02_Transaction_Network_Analysis.ipynb)
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</div>
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---
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## Security & Intelligence
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<div class="grid cards" markdown>
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- :material-shield-lock: **Cybersecurity Threat Intelligence**
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Proactively identify and mitigate cyber threats using real-time anomaly detection and threat intelligence.
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**Goal**: Ingest threat feeds (CVE databases, security RSS), detect anomalies in streaming data, and build threat intelligence knowledge graphs.
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[:material-arrow-right: Real-Time Anomaly Detection](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/01_Real_Time_Anomaly_Detection.ipynb)
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[:material-arrow-right: Threat Intelligence Hybrid RAG](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/02_Threat_Intelligence_Hybrid_RAG.ipynb)
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- :material-account-network: **Criminal Network Analysis**
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Analyze criminal networks to identify key players, communities, and suspicious patterns using OSINT RSS feeds, deduplication, and network centrality analysis.
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**Goal**: Build knowledge graphs from police reports, court records, and surveillance data.
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[:material-arrow-right: View Cookbook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/intelligence/01_Criminal_Network_Analysis.ipynb)
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- :material-file-search: **Intelligence Analysis Orchestrator Worker**
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Comprehensive intelligence analysis using pipeline orchestrator with multiple RSS feeds, conflict detection, and multi-source integration.
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**Goal**: Process multiple intelligence sources in parallel using orchestrator-worker pattern.
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[:material-arrow-right: View Cookbook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/intelligence/02_Intelligence_Analysis_Orchestrator_Worker.ipynb)
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</div>
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---
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## Industry & Operations
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<div class="grid cards" markdown>
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- :material-truck-delivery: **Supply Chain Optimization**
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Visualize and optimize complex global supply chains.
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**Goal**: Map suppliers, logistics routes, and inventory levels to identify bottlenecks.
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[:material-arrow-right: View Cookbook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/supply_chain/01_Supply_Chain_Data_Integration.ipynb)
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- :material-wind-turbine: **Renewable Energy Management**
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Optimize grid operations and asset maintenance.
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**Goal**: Connect sensor data, weather forecasts, and maintenance logs to predict failures.
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[:material-arrow-right: View Cookbook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/renewable_energy/01_Energy_Market_Analysis.ipynb)
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</div>
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---
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## Advanced AI Patterns
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<div class="grid cards" markdown>
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- :material-robot: **Graph-Augmented Generation (GraphRAG)**
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Enhance LLM responses with structured ground truth using knowledge graphs.
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**Goal**: Use the knowledge graph to retrieve precise context for RAG applications with hybrid retrieval and logical inference.
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[:material-arrow-right: GraphRAG Complete](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/advanced_rag/01_GraphRAG_Complete.ipynb)
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[:material-scale-balance: RAG vs GraphRAG Comparison](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/advanced_rag/02_RAG_vs_GraphRAG_Comparison.ipynb)
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</div>
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---
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## Summary
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This guide covered use cases across multiple domains with corresponding cookbooks:
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- **Research & Science**: Biomedical knowledge graphs (Drug Discovery, Genomic Variant Analysis)
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- **Finance & Trading**: Financial data integration, fraud detection, blockchain analytics
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- **Security & Intelligence**: Cybersecurity threat intelligence, criminal network analysis, intelligence orchestration
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- **Industry**: Supply chain optimization, renewable energy management
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- **AI Applications**: GraphRAG (Complete implementation and comparison)
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---
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## Next Steps
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- **[Examples](examples.md)** - More detailed code examples
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- **[Modules Guide](modules.md)** - Learn about available modules
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- **[Cookbook](cookbook.md)** - Interactive Jupyter notebooks
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- **[API Reference](reference/core.md)** - Complete API documentation
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---
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!!! info "Contribute"
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Have a use case to add? [Contribute on GitHub](https://github.com/Hawksight-AI/semantica)
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