semantica/docs/cookbook.md

🍳 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 to learn the basics. - Developers: Check out Advanced Concepts for deep dives into specific features. - Architects: Explore 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)

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� 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

• :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

• :material-shield-alert: Real-Time Anomaly Detection

  Detect anomalies in streaming data using dynamic graphs.

  Topics: Streaming, Security, Dynamic Graphs

  Difficulty: Advanced

  Open Notebook

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🏁 Core Tutorials

Essential guides to master the Semantica framework.

• :material-hand-wave: Welcome to Semantica

  An interactive introduction to the framework's core philosophy.

  Topics: Framework Overview, Architecture

  Difficulty: Beginner

  Open Notebook

• :material-cog: Configuration Basics

  Learn how to configure API keys, environment variables, and settings.

  Topics: Configuration, API Keys, Env Vars

  Difficulty: Beginner

  Open Notebook

• :material-database-import: Data Ingestion

  Techniques for loading data from local files, URLs, and APIs.

  Topics: Loaders, Connectors, Async IO

  Difficulty: Beginner

  Open Notebook

• :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

• :material-broom: Data Normalization

  Pipelines for cleaning, normalizing, and preparing text.

  Topics: Text Cleaning, Unicode, Formatting

  Difficulty: Beginner

  Open Notebook

• :material-account-search: Entity Extraction

  Using NER to identify people, organizations, and custom entities.

  Topics: NER, Spacy, LLM Extraction

  Difficulty: Beginner

  Open Notebook

• :material-relation-many-to-many: Relation Extraction

  Discovering and classifying relationships between entities.

  Topics: Relation Classification, Dependency Parsing

  Difficulty: Beginner

  Open Notebook

• :material-vector-square: Embedding Generation

  Creating and managing vector embeddings for semantic search.

  Topics: Embeddings, OpenAI, HuggingFace

  Difficulty: Intermediate

  Open Notebook

• :material-database-search: Vector Store

  Setting up vector stores for similarity search and retrieval.

  Difficulty: Intermediate

  Open Notebook

• :material-database-settings: Graph Store

  Persisting knowledge graphs in Neo4j, KuzuDB, or FalkorDB.

  Topics: Neo4j, Cypher, Persistence

  Difficulty: Intermediate

  Open Notebook

• :material-sitemap: Ontology

  Defining domain schemas and ontologies to structure your data.

  Topics: OWL, RDF, Schema Design

  Difficulty: Intermediate

  Open Notebook

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🧠 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

• :material-chart-network: Advanced Graph Analytics

  Centrality, community detection, and pathfinding algorithms.

  Topics: PageRank, Louvain, Shortest Path

  Difficulty: Advanced

  Open Notebook

• :material-monitor-dashboard: Complete Visualization Suite

  Creating interactive, publication-ready visualizations of your graphs.

  Topics: PyVis, NetworkX, D3.js

  Difficulty: Intermediate

  Open Notebook

• :material-scale-balance: Conflict Resolution

  Strategies for handling contradictory information from multiple sources.

  Topics: Truth Discovery, Voting, Confidence

  Difficulty: Advanced

  Open Notebook

• :material-export: Multi-Format Export

  Exporting to RDF, OWL, JSON-LD, and NetworkX formats.

  Topics: Serialization, Interoperability

  Difficulty: Intermediate

  Open Notebook

• :material-source-merge: Multi-Source Integration

  Merging data from disparate sources into a unified graph.

  Topics: Entity Resolution, Merging, Fusion

  Difficulty: Advanced

  Open Notebook

• :material-pipe: Pipeline Orchestration

  Building robust, automated data processing pipelines.

  Topics: Workflows, Automation, Error Handling

  Difficulty: Advanced

  Open Notebook

• :material-brain: Reasoning and Inference

  Using logical reasoning to infer new knowledge from existing facts.

  Topics: Logic Rules, Inference Engines

  Difficulty: Advanced

  Open Notebook

• :material-layers: Semantic Layer Construction

  Building a semantic layer over your data warehouse or lake.

  Topics: Semantic Layer, Data Warehouse

  Difficulty: Advanced

  Open Notebook

• :material-clock-outline: Temporal Knowledge Graphs

  Modeling and querying data that changes over time.

  Topics: Time Series, Temporal Logic

  Difficulty: Advanced

  Open Notebook

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🏭 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

• :material-dna: Genomic Variant Analysis

  Analyzing genomic variants and their implications for disease.

  Topics: Genomics, Variant Calling

  Difficulty: Advanced

  Open Notebook

Healthcare

• :material-hospital-box: Clinical Reports Processing

  Processing and structuring unstructured clinical reports.

  Topics: NLP, Medical Records

  Difficulty: Intermediate

  Open Notebook

• :material-virus: Disease Network Analysis

  Analyzing disease networks and comorbidities for population health.

  Topics: Disease Modeling, Comorbidity Networks

  Difficulty: Advanced

  Open Notebook

• :material-pill-multiple: Drug Interactions Analysis

  Identifying potential drug interactions and contraindications.

  Topics: Pharmacology, Drug Safety

  Difficulty: Advanced

  Open Notebook

• :material-robot-love: Healthcare GraphRAG Hybrid

  Hybrid RAG system for healthcare knowledge retrieval.

  Topics: RAG, Medical Knowledge, LLMs

  Difficulty: Advanced

  Open Notebook

• :material-database-plus: Medical Database Integration

  Integrating multiple medical databases into unified knowledge graphs.

  Topics: Data Integration, Medical Databases

  Difficulty: Intermediate

  Open Notebook

• :material-book-medical: Medical Literature GraphRAG

  Querying medical literature using GraphRAG for evidence-based insights.

  Topics: Literature Mining, Evidence-Based Medicine

  Difficulty: Advanced

  Open Notebook

• :material-account-heart: Patient Records Temporal

  Analyzing patient records over time to track health progression.

  Topics: Temporal Analysis, Patient Journeys

  Difficulty: Advanced

  Open Notebook

Finance

• :material-finance: Financial Data Integration

  Merging financial data from reports, news, and market feeds.

  Topics: Finance, Data Fusion

  Difficulty: Intermediate

  Open Notebook

• :material-file-chart: Financial Reports Analysis

  Extracting insights from financial reports and earnings calls.

  Topics: Financial Analysis, NLP

  Difficulty: Intermediate

  Open Notebook

• :material-incognito: Fraud Detection

  Identifying fraudulent activities and patterns in transaction networks.

  Topics: Anomaly Detection, Graph Mining

  Difficulty: Advanced

  Open Notebook

• :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

• :material-chart-line: Market Intelligence

  Gathering and analyzing market intelligence for trading signals.

  Topics: Market Analysis, Sentiment Analysis

  Difficulty: Intermediate

  Open Notebook

• :material-gavel: Regulatory Compliance

  Ensuring compliance with financial regulations using knowledge graphs.

  Topics: Compliance, Regulatory Analysis

  Difficulty: Advanced

  Open Notebook

Blockchain

• :material-bitcoin: DeFi Protocol Intelligence

  Analyzing decentralized finance protocols and transaction flows.

  Topics: Blockchain, DeFi, Smart Contracts

  Difficulty: Advanced

  Open Notebook

• :material-network: Transaction Network Analysis

  Mapping and analyzing blockchain transaction networks.

  Topics: Blockchain Analytics, Network Analysis

  Difficulty: Advanced

  Open Notebook

Cybersecurity

• :material-shield-alert: Anomaly Detection Real-Time

  Detecting anomalies in real-time network traffic streams.

  Topics: Network Security, Streaming

  Difficulty: Advanced

  Open Notebook

• :material-shield-search: Incident Analysis

  Analyzing security incidents and breaches using graph forensics.

  Topics: Incident Response, Forensics

  Difficulty: Intermediate

  Open Notebook

• :material-shield-link-variant: Threat Correlation

  Correlating threats across different vectors to identify campaigns.

  Topics: Threat Intel, Correlation

  Difficulty: Advanced

  Open Notebook

• :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

• :material-shield-plus: Threat Intelligence Integration

  Integrating threat feeds into a unified knowledge graph.

  Topics: STIX/TAXII, Threat Feeds, Integration

  Difficulty: Advanced

  Open Notebook

• :material-bug: Vulnerability Tracking

  Tracking and managing system vulnerabilities using knowledge graphs.

  Topics: CVE, Vulnerability Management

  Difficulty: Intermediate

  Open Notebook

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

• :material-file-chart-outline: Network Analysis Intelligence Reports

  Analyzing intelligence reports for network insights and patterns.

  Topics: Intelligence Analysis, Network Mapping

  Difficulty: Advanced

  Open Notebook

Trading

• :material-chart-areaspline: Market Data Analysis

  Analyzing trading market data for patterns and opportunities.

  Topics: Trading, Market Analysis

  Difficulty: Intermediate

  Open Notebook

• :material-newspaper-variant: News Sentiment Analysis

  Analyzing news sentiment for trading signals and market predictions.

  Topics: Sentiment Analysis, Trading Signals

  Difficulty: Intermediate

  Open Notebook

• :material-clock-fast: Real-Time Market Data

  Processing real-time market data for algorithmic trading.

  Topics: Real-Time Processing, Market Data

  Difficulty: Advanced

  Open Notebook

• :material-monitor-dashboard: Real-Time Monitoring

  Monitoring trading systems and positions in real-time.

  Topics: Monitoring, Real-Time Systems

  Difficulty: Advanced

  Open Notebook

• :material-shield-check: Risk Assessment

  Assessing trading risks using knowledge graphs and analytics.

  Topics: Risk Management, Portfolio Analysis

  Difficulty: Advanced

  Open Notebook

• :material-history: Strategy Backtesting

  Backtesting trading strategies using historical data and graphs.

  Topics: Backtesting, Strategy Optimization

  Difficulty: Advanced

  Open Notebook

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

• :material-leaf: Environmental Impact

  Assessing environmental impact of energy projects and policies.

  Topics: Environmental Science, Impact Analysis

  Difficulty: Intermediate

  Open Notebook

• :material-transmission-tower: Grid Management

  Optimizing power grid management and distribution.

  Topics: Grid Optimization, Energy Distribution

  Difficulty: Advanced

  Open Notebook

• :material-solar-power: Resource Optimization

  Optimizing renewable energy resources and generation.

  Topics: Resource Management, Optimization

  Difficulty: Advanced

  Open Notebook

• :material-truck-cargo-container: Supply Chain Analysis

  Analyzing the renewable energy supply chain for optimization.

  Topics: Supply Chain, Energy Sector

  Difficulty: Intermediate

  Open Notebook

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

• :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

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🛠️ How to Run

To run these notebooks locally:

1. Clone the repository:

   git clone https://github.com/Hawksight-AI/semantica.git
   cd semantica
   

2. Install dependencies:

   pip install -e .[all]
   pip install jupyter
   

3. Launch Jupyter:

   jupyter notebook
   

!!! tip "Using Docker" You can also run the cookbook using Docker: bash docker run -p 8888:8888 hawksight/semantica-cookbook