semantica/docs/cookbook.md

Cookbook Recipes

Interactive Jupyter notebooks with hands-on examples and tutorials.

Introduction

Get started with Semantica through these beginner-friendly tutorials.

Getting Started

• Welcome to Semantica - Introduction to the framework
• Your First Knowledge Graph - Build your first KG
• Configuration Basics - Learn configuration options

Core Concepts

• Data Ingestion - Ingest data from various sources
• Document Parsing - Parse different document formats
• Data Normalization - Normalize and clean data
• Entity Extraction - Extract entities from text
• Relation Extraction - Extract relationships
• Building Knowledge Graphs - Construct KGs

Quality and Analysis

• Conflict Detection - Detect data conflicts
• Deduplication - Remove duplicates
• Graph Quality - Assess KG quality
• Graph Analytics - Analyze knowledge graphs

Advanced Features

• Embedding Generation - Generate embeddings

• Vector Store - Store and query vectors

• Ontology - Work with ontologies

• Visualization - Visualize knowledge graphs

• Export - Export in various formats

• :material-robot: GraphRAG Complete

  Build a production-ready Graph Retrieval Augmented Generation system.

  New Features: Graph Validation, Logical Inference, Hybrid Context.

  Topics: RAG, LLMs, Vector Search, Graph Traversal

  Difficulty: Advanced

  Open Notebook

• :material-scale-balance: RAG vs. GraphRAG Comparison

  Side-by-side comparison of Standard RAG vs. GraphRAG using real-world data.

  New Features: Inference-Enhanced GraphRAG, Reasoning Gap Analysis.

  Topics: RAG, GraphRAG, Benchmarking, Visualization

  Difficulty: Intermediate

  Open Notebook

Advanced

Advanced techniques and patterns for experienced users.

Advanced Extraction

• Advanced Extraction - Advanced extraction techniques
• Text Chunking Strategies - Optimize text chunking

Graph Operations

• Advanced Graph Analytics - Advanced graph analysis
• Temporal Knowledge Graphs - Work with temporal data
• Semantic Layer Construction - Build semantic layers

Integration and Processing

• Multi-Source Data Integration - Integrate multiple sources
• Pipeline Orchestration - Orchestrate complex pipelines
• Unstructured to Ontology - Convert unstructured to ontology

Quality and Resolution

• Conflict Resolution Strategies - Advanced conflict resolution
• Reasoning and Inference - Perform reasoning

Visualization and Export

• Complete Visualization Suite - Comprehensive visualization
• Multi-Format Export - Export to multiple formats

Use Cases

Real-world applications across various domains.

Advanced RAG

• GraphRAG Complete - Complete GraphRAG implementation

Biomedical

• Drug Discovery Pipeline - Drug discovery workflows
• Genomic Variant Analysis - Genomic data analysis

Blockchain

• DeFi Protocol Intelligence - DeFi analysis
• Transaction Network Analysis - Blockchain network analysis

Cybersecurity

• Threat Intelligence Integration - Threat intelligence
• Threat Intelligence Hybrid RAG - Hybrid RAG for threats
• Threat Correlation - Correlate threats
• Anomaly Detection Real-Time - Real-time anomaly detection
• Incident Analysis - Analyze security incidents
• Vulnerability Tracking - Track vulnerabilities

Finance

• Financial Data Integration - Integrate financial data
• Financial Reports Analysis - Analyze reports
• Fraud Detection - Detect fraud
• Investment Analysis Hybrid RAG - Investment analysis
• Market Intelligence - Market analysis
• Regulatory Compliance - Compliance workflows

Healthcare

• Clinical Reports Processing - Process clinical data
• Disease Network Analysis - Analyze disease networks
• Drug Interactions Analysis - Drug interaction analysis
• Healthcare GraphRAG Hybrid - Healthcare GraphRAG
• Medical Database Integration - Integrate medical databases
• Medical Literature GraphRAG - Literature analysis
• Patient Records Temporal - Temporal patient data

Intelligence

• Network Analysis Intelligence Reports - Intelligence network analysis

Renewable Energy

• Energy Market Analysis - Energy market insights
• Environmental Impact - Environmental analysis
• Grid Management - Grid optimization
• Resource Optimization - Optimize resources
• Supply Chain Analysis - Energy supply chains

Supply Chain

• Supply Chain Data Integration - Integrate supply chain data
• Supply Chain Risk Management - Risk management

Trading

• Market Data Analysis - Analyze market data
• News Sentiment Analysis - Sentiment analysis
• Real-Time Market Data - Real-time processing
• Real-Time Monitoring - Monitor markets
• Risk Assessment - Assess risks
• Strategy Backtesting - Backtest strategies

Running the Notebooks

Prerequisites

# Install Semantica
pip install semantica

# Install Jupyter
pip install jupyter notebook

# Optional: Install JupyterLab
pip install jupyterlab

Launch Jupyter

# Start Jupyter Notebook
jupyter notebook

# Or start JupyterLab
jupyter lab

Navigate to the cookbook/ directory and open any notebook.

Viewing on GitHub

All notebooks can be viewed directly on GitHub. Click any notebook link above to view it online.

Contributing

Have a use case or example to share? We welcome contributions!

1. Create a new notebook in the appropriate category
2. Follow the existing notebook structure
3. Submit a pull request

See our Contributing Guide for details.