# 🍳 Semantica Cookbook Welcome to the **Semantica Cookbook**! This collection of Jupyter notebooks is designed to take you from a beginner to an expert in building semantic AI applications. Whether you're looking for quick recipes or deep-dive tutorials, you'll find it here. !!! tip "How to use this Cookbook" - **Beginners**: Start with the [Core Tutorials](#core-tutorials) to learn the basics. - **Developers**: Check out [Advanced Concepts](#advanced-concepts) for deep dives into specific features. - **Architects**: Explore [Industry Use Cases](#industry-use-cases) for end-to-end solutions. !!! note "Prerequisites" Before running these notebooks, ensure you have: - Python 3.8+ installed - A basic understanding of Python and Jupyter - An OpenAI API key (for most examples) !!! success "Installation" Install Semantica from PyPI (recommended): ```bash pip install semantica # Or with all optional dependencies: pip install semantica[all] ``` For more installation options, see the [Installation Guide](installation.md). --- ## � Featured Recipes Hand-picked tutorials to show you the power of Semantica.
- :material-robot: **GraphRAG Complete** --- Build a production-ready Graph Retrieval Augmented Generation system. **Topics**: RAG, LLMs, Vector Search, Graph Traversal **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/advanced_rag/01_GraphRAG_Complete.ipynb) - :material-graph: **Your First Knowledge Graph** --- Go from raw text to a queryable knowledge graph in 20 minutes. **Topics**: Extraction, Graph Construction, Visualization **Difficulty**: Beginner [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/08_Your_First_Knowledge_Graph.ipynb) - :material-shield-alert: **Real-Time Anomaly Detection** --- Detect anomalies in streaming data using dynamic graphs. **Topics**: Streaming, Security, Dynamic Graphs **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/01_Anomaly_Detection_Real_Time.ipynb)
--- ## 🏁 Core Tutorials {#core-tutorials} Essential guides to master the Semantica framework.
- :material-hand-wave: **Welcome to Semantica** --- An interactive introduction to the framework's core philosophy and all modules including ingestion, parsing, extraction, knowledge graphs, embeddings, and more. **Topics**: Framework Overview, Architecture, All Modules **Difficulty**: Beginner [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/01_Welcome_to_Semantica.ipynb) - :material-database-import: **Data Ingestion** --- Techniques for loading data from multiple sources using FileIngestor, WebIngestor, FeedIngestor, StreamIngestor, RepoIngestor, EmailIngestor, DBIngestor, and MCPIngestor. **Topics**: File Ingestion, Web Scraping, Database Integration, Streams, Feeds, Repositories, Email, MCP **Difficulty**: Beginner [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/02_Data_Ingestion.ipynb) - :material-file-document-outline: **Document Parsing** --- Extracting clean text from complex formats like PDF, DOCX, and HTML. **Topics**: OCR, PDF Parsing, Text Extraction **Difficulty**: Beginner [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/03_Document_Parsing.ipynb) - :material-broom: **Data Normalization** --- Pipelines for cleaning, normalizing, and preparing text. **Topics**: Text Cleaning, Unicode, Formatting **Difficulty**: Beginner [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/04_Data_Normalization.ipynb) - :material-account-search: **Entity Extraction** --- Using NER to identify people, organizations, and custom entities. **Topics**: NER, Spacy, LLM Extraction **Difficulty**: Beginner [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/05_Entity_Extraction.ipynb) - :material-relation-many-to-many: **Relation Extraction** --- Discovering and classifying relationships between entities. **Topics**: Relation Classification, Dependency Parsing **Difficulty**: Beginner [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/06_Relation_Extraction.ipynb) - :material-vector-square: **Embedding Generation** --- Creating and managing vector embeddings for semantic search. **Topics**: Embeddings, OpenAI, HuggingFace **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/12_Embedding_Generation.ipynb) - :material-database-search: **Vector Store** --- Setting up vector stores for similarity search and retrieval. **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/13_Vector_Store.ipynb) - :material-database-settings: **Graph Store** --- Persisting knowledge graphs in Neo4j or FalkorDB. **Topics**: Neo4j, Cypher, Persistence **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/09_Graph_Store.ipynb) - :material-sitemap: **Ontology** --- Defining domain schemas and ontologies to structure your data. **Topics**: OWL, RDF, Schema Design **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/14_Ontology.ipynb)
--- ## 🧠 Advanced Concepts Deep dive into advanced features, customization, and complex workflows.
- :material-flask: **Advanced Extraction** --- Custom extractors, LLM-based extraction, and complex pattern matching. **Topics**: Custom Models, Regex, LLMs **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/01_Advanced_Extraction.ipynb) - :material-chart-network: **Advanced Graph Analytics** --- Centrality, community detection, and pathfinding algorithms. **Topics**: PageRank, Louvain, Shortest Path **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/02_Advanced_Graph_Analytics.ipynb) - :material-monitor-dashboard: **Complete Visualization Suite** --- Creating interactive, publication-ready visualizations of your graphs. **Topics**: PyVis, NetworkX, D3.js **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/03_Complete_Visualization_Suite.ipynb) - :material-scale-balance: **Conflict Resolution** --- Strategies for handling contradictory information from multiple sources. **Topics**: Truth Discovery, Voting, Confidence **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/17_Conflict_Detection_and_Resolution.ipynb) - :material-export: **Multi-Format Export** --- Exporting to RDF, OWL, JSON-LD, and NetworkX formats. **Topics**: Serialization, Interoperability **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/05_Multi_Format_Export.ipynb) - :material-source-merge: **Multi-Source Integration** --- Merging data from disparate sources into a unified graph. **Topics**: Entity Resolution, Merging, Fusion **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/06_Multi_Source_Data_Integration.ipynb) - :material-brain: **Reasoning and Inference** --- Using logical reasoning to infer new knowledge from existing facts. **Topics**: Logic Rules, Inference Engines **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/08_Reasoning_and_Inference.ipynb) - :material-layers: **Semantic Layer Construction** --- Building a semantic layer over your data warehouse or lake. **Topics**: Semantic Layer, Data Warehouse **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/09_Semantic_Layer_Construction.ipynb) - :material-clock-outline: **Temporal Knowledge Graphs** --- Modeling and querying data that changes over time. **Topics**: Time Series, Temporal Logic **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/10_Temporal_Knowledge_Graphs.ipynb)
--- ## 🏭 Industry Use Cases {#industry-use-cases} Real-world examples and end-to-end applications across various industries. ### Biomedical
- :material-pill: **Drug Discovery Pipeline** --- Accelerating drug discovery by connecting genes, proteins, and drugs. **Topics**: Bioinformatics, KG Construction **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/biomedical/01_Drug_Discovery_Pipeline.ipynb) - :material-dna: **Genomic Variant Analysis** --- Analyzing genomic variants and their implications for disease. **Topics**: Genomics, Variant Calling **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/biomedical/02_Genomic_Variant_Analysis.ipynb)
### Healthcare
- :material-hospital-box: **Clinical Reports Processing** --- Processing and structuring unstructured clinical reports. **Topics**: NLP, Medical Records **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/01_Clinical_Reports_Processing.ipynb) - :material-virus: **Disease Network Analysis** --- Analyzing disease networks and comorbidities for population health. **Topics**: Disease Modeling, Comorbidity Networks **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/02_Disease_Network_Analysis.ipynb) - :material-pill-multiple: **Drug Interactions Analysis** --- Identifying potential drug interactions and contraindications. **Topics**: Pharmacology, Drug Safety **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/03_Drug_Interactions_Analysis.ipynb) - :material-robot-love: **Healthcare GraphRAG Hybrid** --- Hybrid RAG system for healthcare knowledge retrieval. **Topics**: RAG, Medical Knowledge, LLMs **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/04_Healthcare_GraphRAG_Hybrid.ipynb) - :material-database-plus: **Medical Database Integration** --- Integrating multiple medical databases into unified knowledge graphs. **Topics**: Data Integration, Medical Databases **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/05_Medical_Database_Integration.ipynb) - :material-account-heart: **Patient Records Temporal** --- Analyzing patient records over time to track health progression. **Topics**: Temporal Analysis, Patient Journeys **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/06_Patient_Records_Temporal.ipynb)
### Finance
- :material-finance: **Financial Data Integration** --- Merging financial data from reports, news, and market feeds. **Topics**: Finance, Data Fusion **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/01_Financial_Data_Integration.ipynb) - :material-file-chart: **Financial Reports Analysis** --- Extracting insights from financial reports and earnings calls. **Topics**: Financial Analysis, NLP **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/02_Financial_Reports_Analysis.ipynb) - :material-incognito: **Fraud Detection** --- Identifying fraudulent activities and patterns in transaction networks. **Topics**: Anomaly Detection, Graph Mining **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/03_Fraud_Detection.ipynb) - :material-chart-box: **Investment Analysis Hybrid RAG** --- AI-powered investment analysis using hybrid RAG approach. **Topics**: Investment Research, RAG, Financial Analysis **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/04_Investment_Analysis_Hybrid_RAG.ipynb) - :material-gavel: **Regulatory Compliance** --- Ensuring compliance with financial regulations using knowledge graphs. **Topics**: Compliance, Regulatory Analysis **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/05_Regulatory_Compliance.ipynb)
### Blockchain
- :material-bitcoin: **DeFi Protocol Intelligence** --- Analyzing decentralized finance protocols and transaction flows. **Topics**: Blockchain, DeFi, Smart Contracts **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/blockchain/01_DeFi_Protocol_Intelligence.ipynb) - :material-network: **Transaction Network Analysis** --- Mapping and analyzing blockchain transaction networks. **Topics**: Blockchain Analytics, Network Analysis **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/blockchain/02_Transaction_Network_Analysis.ipynb)
### Cybersecurity
- :material-shield-alert: **Anomaly Detection Real-Time** --- Detecting anomalies in real-time network traffic streams. **Topics**: Network Security, Streaming **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/01_Anomaly_Detection_Real_Time.ipynb) - :material-shield-search: **Incident Analysis** --- Analyzing security incidents and breaches using graph forensics. **Topics**: Incident Response, Forensics **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/02_Incident_Analysis.ipynb) - :material-shield-link-variant: **Threat Correlation** --- Correlating threats across different vectors to identify campaigns. **Topics**: Threat Intel, Correlation **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/03_Threat_Correlation.ipynb) - :material-robot-angry: **Threat Intelligence Hybrid RAG** --- Combining RAG with threat intelligence for enhanced security insights. **Topics**: Threat Intelligence, RAG, Security **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/04_Threat_Intelligence_Hybrid_RAG.ipynb) - :material-shield-plus: **Threat Intelligence Integration** --- Integrating threat feeds into a unified knowledge graph. **Topics**: STIX/TAXII, Threat Feeds, Integration **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/05_Threat_Intelligence_Integration.ipynb) - :material-bug: **Vulnerability Tracking** --- Tracking and managing system vulnerabilities using knowledge graphs. **Topics**: CVE, Vulnerability Management **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/06_Vulnerability_Tracking.ipynb)
### Intelligence
- :material-account-network: **Criminal Network Analysis** --- Analyze criminal networks with graph analytics and key player detection. **Topics**: Forensics, Social Network Analysis **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/intelligence/01_Criminal_Network_Analysis.ipynb) - :material-file-search: **Intelligence Analysis** --- Comprehensive intelligence analysis using orchestrator-worker pattern with graph analytics and hybrid RAG. **Topics**: Intelligence Analysis, Orchestrator-Worker, Graph Analytics **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/intelligence/02_Intelligence_Analysis.ipynb) - :material-gavel: **Law Enforcement Forensics** --- Forensic analysis pipeline for processing case files and evidence. **Topics**: Forensics, Evidence Analysis, Case Correlation **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/intelligence/03_Law_Enforcement_Forensics.ipynb)
### Trading
- :material-chart-areaspline: **Market Data Analysis** --- Analyzing trading market data for patterns and opportunities. **Topics**: Trading, Market Analysis **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/trading/01_Market_Data_Analysis.ipynb) - :material-newspaper-variant: **News Sentiment Analysis** --- Analyzing news sentiment for trading signals and market predictions. **Topics**: Sentiment Analysis, Trading Signals **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/trading/02_News_Sentiment_Analysis.ipynb) - :material-monitor-dashboard: **Real-Time Monitoring** --- Monitoring trading systems and positions in real-time. **Topics**: Monitoring, Real-Time Systems **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/trading/03_Real_Time_Monitoring.ipynb) - :material-shield-check: **Risk Assessment** --- Assessing trading risks using knowledge graphs and analytics. **Topics**: Risk Management, Portfolio Analysis **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/trading/04_Risk_Assessment.ipynb) - :material-history: **Strategy Backtesting** --- Backtesting trading strategies using historical data and graphs. **Topics**: Backtesting, Strategy Optimization **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/trading/05_Strategy_Backtesting.ipynb)
### Renewable Energy
- :material-wind-turbine: **Energy Market Analysis** --- Analyzing trends and pricing in the renewable energy market. **Topics**: Energy, Time Series **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/renewable_energy/01_Energy_Market_Analysis.ipynb) - :material-leaf: **Environmental Impact** --- Assessing environmental impact of energy projects and policies. **Topics**: Environmental Science, Impact Analysis **Difficulty**: Intermediate [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/renewable_energy/02_Environmental_Impact.ipynb) - :material-transmission-tower: **Grid Management** --- Optimizing power grid management and distribution. **Topics**: Grid Optimization, Energy Distribution **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/renewable_energy/03_Grid_Management.ipynb) - :material-solar-power: **Resource Optimization** --- Optimizing renewable energy resources and generation. **Topics**: Resource Management, Optimization **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/renewable_energy/04_Resource_Optimization.ipynb)
### Supply Chain
- :material-truck-delivery: **Supply Chain Data Integration** --- Integrating supply chain data to optimize logistics and reduce risk. **Topics**: Logistics, Risk Management **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/supply_chain/01_Supply_Chain_Data_Integration.ipynb) - :material-alert-octagon: **Supply Chain Risk Management** --- Managing and mitigating supply chain risks using knowledge graphs. **Topics**: Risk Management, Supply Chain Resilience **Difficulty**: Advanced [Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/supply_chain/02_Supply_Chain_Risk_Management.ipynb)
--- ## 🛠️ How to Run To run these notebooks locally: 1. **Install Semantica from PyPI** (recommended): ```bash pip install semantica[all] pip install jupyter ``` 2. **Or install from source** (for development): ```bash git clone https://github.com/Hawksight-AI/semantica.git cd semantica pip install -e .[all] pip install jupyter ``` 3. **Launch Jupyter**: ```bash jupyter notebook ``` !!! tip "Using Docker" You can also run the cookbook using Docker: ```bash docker run -p 8888:8888 hawksight/semantica-cookbook ```