# 🍳 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
```