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718 lines
23 KiB
Markdown
718 lines
23 KiB
Markdown
# 🍳 Semantica Cookbook
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Welcome to the **Semantica Cookbook**!
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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.
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!!! tip "How to use this Cookbook"
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- **Beginners**: Start with the [Core Tutorials](#core-tutorials) to learn the basics.
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- **Developers**: Check out [Advanced Concepts](#advanced-concepts) for deep dives into specific features.
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- **Architects**: Explore [Industry Use Cases](#industry-use-cases) for end-to-end solutions.
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!!! note "Prerequisites"
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Before running these notebooks, ensure you have:
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- Python 3.8+ installed
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- A basic understanding of Python and Jupyter
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- An OpenAI API key (for most examples)
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!!! success "Installation"
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Install Semantica from PyPI (recommended):
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```bash
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pip install semantica
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# Or with all optional dependencies:
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pip install semantica[all]
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```
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For more installation options, see the [Installation Guide](installation.md).
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---
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## � Featured Recipes
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Hand-picked tutorials to show you the power of Semantica.
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<div class="grid cards" markdown>
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- :material-robot: **GraphRAG Complete**
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---
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Build a production-ready Graph Retrieval Augmented Generation system.
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**Topics**: RAG, LLMs, Vector Search, Graph Traversal
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/advanced_rag/01_GraphRAG_Complete.ipynb)
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- :material-graph: **Your First Knowledge Graph**
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---
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Go from raw text to a queryable knowledge graph in 20 minutes.
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**Topics**: Extraction, Graph Construction, Visualization
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**Difficulty**: Beginner
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/08_Your_First_Knowledge_Graph.ipynb)
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- :material-shield-alert: **Real-Time Anomaly Detection**
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---
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Detect anomalies in streaming data using dynamic graphs.
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**Topics**: Streaming, Security, Dynamic Graphs
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/01_Anomaly_Detection_Real_Time.ipynb)
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</div>
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---
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## 🏁 Core Tutorials {#core-tutorials}
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Essential guides to master the Semantica framework.
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<div class="grid cards" markdown>
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- :material-hand-wave: **Welcome to Semantica**
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---
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An interactive introduction to the framework's core philosophy and all modules including ingestion, parsing, extraction, knowledge graphs, embeddings, and more.
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**Topics**: Framework Overview, Architecture, All Modules
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**Difficulty**: Beginner
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/01_Welcome_to_Semantica.ipynb)
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- :material-database-import: **Data Ingestion**
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---
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Techniques for loading data from multiple sources using FileIngestor, WebIngestor, FeedIngestor, StreamIngestor, RepoIngestor, EmailIngestor, DBIngestor, and MCPIngestor.
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**Topics**: File Ingestion, Web Scraping, Database Integration, Streams, Feeds, Repositories, Email, MCP
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**Difficulty**: Beginner
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/02_Data_Ingestion.ipynb)
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- :material-file-document-outline: **Document Parsing**
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---
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Extracting clean text from complex formats like PDF, DOCX, and HTML.
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**Topics**: OCR, PDF Parsing, Text Extraction
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**Difficulty**: Beginner
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/03_Document_Parsing.ipynb)
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- :material-broom: **Data Normalization**
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---
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Pipelines for cleaning, normalizing, and preparing text.
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**Topics**: Text Cleaning, Unicode, Formatting
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**Difficulty**: Beginner
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/04_Data_Normalization.ipynb)
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- :material-account-search: **Entity Extraction**
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---
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Using NER to identify people, organizations, and custom entities.
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**Topics**: NER, Spacy, LLM Extraction
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**Difficulty**: Beginner
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/05_Entity_Extraction.ipynb)
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- :material-relation-many-to-many: **Relation Extraction**
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Discovering and classifying relationships between entities.
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**Topics**: Relation Classification, Dependency Parsing
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**Difficulty**: Beginner
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/06_Relation_Extraction.ipynb)
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- :material-vector-square: **Embedding Generation**
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---
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Creating and managing vector embeddings for semantic search.
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**Topics**: Embeddings, OpenAI, HuggingFace
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/12_Embedding_Generation.ipynb)
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- :material-database-search: **Vector Store**
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---
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Setting up vector stores for similarity search and retrieval.
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/13_Vector_Store.ipynb)
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- :material-database-settings: **Graph Store**
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---
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Persisting knowledge graphs in Neo4j or FalkorDB.
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**Topics**: Neo4j, Cypher, Persistence
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/09_Graph_Store.ipynb)
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- :material-sitemap: **Ontology**
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---
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Defining domain schemas and ontologies to structure your data.
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**Topics**: OWL, RDF, Schema Design
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/14_Ontology.ipynb)
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</div>
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---
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## 🧠 Advanced Concepts
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Deep dive into advanced features, customization, and complex workflows.
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<div class="grid cards" markdown>
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- :material-flask: **Advanced Extraction**
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---
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Custom extractors, LLM-based extraction, and complex pattern matching.
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**Topics**: Custom Models, Regex, LLMs
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/01_Advanced_Extraction.ipynb)
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- :material-chart-network: **Advanced Graph Analytics**
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Centrality, community detection, and pathfinding algorithms.
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**Topics**: PageRank, Louvain, Shortest Path
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/02_Advanced_Graph_Analytics.ipynb)
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- :material-monitor-dashboard: **Complete Visualization Suite**
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Creating interactive, publication-ready visualizations of your graphs.
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**Topics**: PyVis, NetworkX, D3.js
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/03_Complete_Visualization_Suite.ipynb)
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- :material-scale-balance: **Conflict Resolution**
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Strategies for handling contradictory information from multiple sources.
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**Topics**: Truth Discovery, Voting, Confidence
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/introduction/17_Conflict_Detection_and_Resolution.ipynb)
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- :material-export: **Multi-Format Export**
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Exporting to RDF, OWL, JSON-LD, and NetworkX formats.
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**Topics**: Serialization, Interoperability
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/05_Multi_Format_Export.ipynb)
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- :material-source-merge: **Multi-Source Integration**
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Merging data from disparate sources into a unified graph.
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**Topics**: Entity Resolution, Merging, Fusion
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/06_Multi_Source_Data_Integration.ipynb)
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- :material-brain: **Reasoning and Inference**
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---
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Using logical reasoning to infer new knowledge from existing facts.
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**Topics**: Logic Rules, Inference Engines
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/08_Reasoning_and_Inference.ipynb)
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- :material-layers: **Semantic Layer Construction**
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Building a semantic layer over your data warehouse or lake.
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**Topics**: Semantic Layer, Data Warehouse
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/09_Semantic_Layer_Construction.ipynb)
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- :material-clock-outline: **Temporal Knowledge Graphs**
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---
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Modeling and querying data that changes over time.
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**Topics**: Time Series, Temporal Logic
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/advanced/10_Temporal_Knowledge_Graphs.ipynb)
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</div>
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---
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## 🏭 Industry Use Cases {#industry-use-cases}
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Real-world examples and end-to-end applications across various industries.
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### Biomedical
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<div class="grid cards" markdown>
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- :material-pill: **Drug Discovery Pipeline**
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Accelerating drug discovery by connecting genes, proteins, and drugs.
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**Topics**: Bioinformatics, KG Construction
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/biomedical/01_Drug_Discovery_Pipeline.ipynb)
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- :material-dna: **Genomic Variant Analysis**
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Analyzing genomic variants and their implications for disease.
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**Topics**: Genomics, Variant Calling
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**Difficulty**: Advanced
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[Open Notebook](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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### Healthcare
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<div class="grid cards" markdown>
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- :material-hospital-box: **Clinical Reports Processing**
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Processing and structuring unstructured clinical reports.
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**Topics**: NLP, Medical Records
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/01_Clinical_Reports_Processing.ipynb)
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- :material-virus: **Disease Network Analysis**
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Analyzing disease networks and comorbidities for population health.
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**Topics**: Disease Modeling, Comorbidity Networks
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/02_Disease_Network_Analysis.ipynb)
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- :material-pill-multiple: **Drug Interactions Analysis**
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Identifying potential drug interactions and contraindications.
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**Topics**: Pharmacology, Drug Safety
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/03_Drug_Interactions_Analysis.ipynb)
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- :material-robot-love: **Healthcare GraphRAG Hybrid**
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Hybrid RAG system for healthcare knowledge retrieval.
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**Topics**: RAG, Medical Knowledge, LLMs
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/04_Healthcare_GraphRAG_Hybrid.ipynb)
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- :material-database-plus: **Medical Database Integration**
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Integrating multiple medical databases into unified knowledge graphs.
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**Topics**: Data Integration, Medical Databases
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/05_Medical_Database_Integration.ipynb)
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- :material-account-heart: **Patient Records Temporal**
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Analyzing patient records over time to track health progression.
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**Topics**: Temporal Analysis, Patient Journeys
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/healthcare/06_Patient_Records_Temporal.ipynb)
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</div>
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### Finance
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<div class="grid cards" markdown>
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- :material-finance: **Financial Data Integration**
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Merging financial data from reports, news, and market feeds.
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**Topics**: Finance, Data Fusion
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/01_Financial_Data_Integration.ipynb)
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- :material-file-chart: **Financial Reports Analysis**
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Extracting insights from financial reports and earnings calls.
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**Topics**: Financial Analysis, NLP
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/02_Financial_Reports_Analysis.ipynb)
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- :material-incognito: **Fraud Detection**
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Identifying fraudulent activities and patterns in transaction networks.
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**Topics**: Anomaly Detection, Graph Mining
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/03_Fraud_Detection.ipynb)
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- :material-chart-box: **Investment Analysis Hybrid RAG**
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---
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AI-powered investment analysis using hybrid RAG approach.
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**Topics**: Investment Research, RAG, Financial Analysis
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/04_Investment_Analysis_Hybrid_RAG.ipynb)
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- :material-gavel: **Regulatory Compliance**
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Ensuring compliance with financial regulations using knowledge graphs.
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**Topics**: Compliance, Regulatory Analysis
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/finance/05_Regulatory_Compliance.ipynb)
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</div>
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### Blockchain
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<div class="grid cards" markdown>
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- :material-bitcoin: **DeFi Protocol Intelligence**
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---
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Analyzing decentralized finance protocols and transaction flows.
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**Topics**: Blockchain, DeFi, Smart Contracts
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/blockchain/01_DeFi_Protocol_Intelligence.ipynb)
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- :material-network: **Transaction Network Analysis**
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---
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Mapping and analyzing blockchain transaction networks.
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**Topics**: Blockchain Analytics, Network Analysis
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**Difficulty**: Advanced
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[Open Notebook](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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### Cybersecurity
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<div class="grid cards" markdown>
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- :material-shield-alert: **Anomaly Detection Real-Time**
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---
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Detecting anomalies in real-time network traffic streams.
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**Topics**: Network Security, Streaming
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/01_Anomaly_Detection_Real_Time.ipynb)
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- :material-shield-search: **Incident Analysis**
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---
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Analyzing security incidents and breaches using graph forensics.
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**Topics**: Incident Response, Forensics
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/02_Incident_Analysis.ipynb)
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- :material-shield-link-variant: **Threat Correlation**
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---
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Correlating threats across different vectors to identify campaigns.
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**Topics**: Threat Intel, Correlation
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/03_Threat_Correlation.ipynb)
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- :material-robot-angry: **Threat Intelligence Hybrid RAG**
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---
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Combining RAG with threat intelligence for enhanced security insights.
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**Topics**: Threat Intelligence, RAG, Security
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/04_Threat_Intelligence_Hybrid_RAG.ipynb)
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- :material-shield-plus: **Threat Intelligence Integration**
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---
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Integrating threat feeds into a unified knowledge graph.
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**Topics**: STIX/TAXII, Threat Feeds, Integration
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**Difficulty**: Advanced
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/05_Threat_Intelligence_Integration.ipynb)
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- :material-bug: **Vulnerability Tracking**
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---
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Tracking and managing system vulnerabilities using knowledge graphs.
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**Topics**: CVE, Vulnerability Management
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**Difficulty**: Intermediate
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[Open Notebook](https://github.com/Hawksight-AI/semantica/blob/main/cookbook/use_cases/cybersecurity/06_Vulnerability_Tracking.ipynb)
|
|
|
|
</div>
|
|
|
|
### Intelligence
|
|
|
|
<div class="grid cards" markdown>
|
|
|
|
- :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)
|
|
|
|
</div>
|
|
|
|
### Trading
|
|
|
|
<div class="grid cards" markdown>
|
|
|
|
- :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)
|
|
|
|
</div>
|
|
|
|
### Renewable Energy
|
|
|
|
<div class="grid cards" markdown>
|
|
|
|
- :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)
|
|
|
|
</div>
|
|
|
|
### Supply Chain
|
|
|
|
<div class="grid cards" markdown>
|
|
|
|
- :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)
|
|
|
|
</div>
|
|
|
|
---
|
|
|
|
## 🛠️ 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
|
|
```
|