Cookbook

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Featured Recipe

• Your First Knowledge Graph — Go from raw text to a queryable knowledge graph in 20 minutes. Topics: Extraction, Graph Construction, Visualization · Beginner

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Core Tutorials

• Welcome to Semantica — Interactive introduction to the framework’s core philosophy and all modules. Topics: Framework Overview, Architecture · Beginner
• Data Ingestion — Loading data from files, web, databases, streams, feeds, repositories, email, and MCP. Topics: FileIngestor, WebIngestor, DBIngestor · Beginner
• Document Parsing — Extracting clean text from complex formats like PDF, DOCX, and HTML. Topics: OCR, PDF Parsing, Text Extraction · Beginner
• Data Normalization — Pipelines for cleaning, normalizing, and preparing text. Topics: Text Cleaning, Unicode, Formatting · Beginner
• Entity Extraction — Using NER to identify people, organizations, and custom entities. Topics: NER, spaCy, LLM Extraction · Beginner
• Relation Extraction — Discovering and classifying relationships between entities. Topics: Relation Classification, Dependency Parsing · Beginner
• Embedding Generation — Creating and managing vector embeddings for semantic search. Topics: Embeddings, OpenAI, HuggingFace · Intermediate
• Vector Store — Setting up vector stores for similarity search and retrieval. Intermediate
• Graph Store — Persisting knowledge graphs in Neo4j or FalkorDB. Topics: Neo4j, Cypher, Persistence · Intermediate
• Ontology — Defining domain schemas and ontologies to structure your data. Topics: OWL, RDF, Schema Design · Intermediate

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Advanced Concepts

• Advanced Extraction — Custom extractors, LLM-based extraction, and complex pattern matching. Topics: Custom Models, Regex, LLMs · Advanced
• Advanced Graph Analytics — Centrality, community detection, and pathfinding algorithms. Topics: PageRank, Louvain, Shortest Path · Advanced
• Advanced Context Engineering — Production-grade memory system for AI agents using FAISS and Neo4j. Topics: Agent Memory, GraphRAG, Entity Injection · Advanced
• Complete Visualization Suite — Interactive, publication-ready visualizations of your graphs. Topics: PyVis, NetworkX, D3.js · Intermediate
• Conflict Resolution — Strategies for handling contradictory information from multiple sources. Topics: Truth Discovery, Voting, Confidence · Advanced
• Multi-Format Export — Exporting to RDF, OWL, JSON-LD, and NetworkX formats. Topics: Serialization, Interoperability · Intermediate
• Multi-Source Integration — Merging data from disparate sources into a unified graph. Topics: Entity Resolution, Merging, Fusion · Advanced
• Reasoning and Inference — Using logical reasoning to infer new knowledge from existing facts. Topics: Logic Rules, Inference Engines · Advanced
• Temporal Knowledge Graphs — Modeling and querying data that changes over time. Topics: Time Series, Temporal Logic, Allen Algebra · Advanced

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How to Run

pip install semantica[all]
pip install jupyter

git clone https://github.com/semantica-agi/semantica.git
cd semantica
pip install -e ".[all]"
pip install jupyter

jupyter notebook

docker run -p 8888:8888 hawksight/semantica-cookbook