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KaifAhmad1
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Add a Cite Us section to the README with BibTeX citation info, and align it with docs/citation.md (author/organization: Semantica, 2026). Update LICENSE and docs/project-license.md copyright holder to Semantica, and replace the stale Hawksight-AI GitHub org slug with semantica-agi across READMEs, plugin manifests, cookbook notebooks, and GitHub templates.
6.3 KiB
6.3 KiB
title, description, icon
| title | description | icon |
|---|---|---|
| Cookbook | Interactive Jupyter notebooks covering everything from your first knowledge graph to production GraphRAG systems. | flask |
Featured Recipe
- Your First Knowledge Graph — Go from raw text to a queryable knowledge graph in 20 minutes. Topics: Extraction, Graph Construction, Visualization · Beginner
Core Tutorials
Essential guides to master the Semantica framework.
- 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
Advanced Concepts
Deep dive into advanced features, customization, and complex workflows.
- 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
How to Run
```bash pip install semantica[all] pip install jupyter ``` ```bash git clone https://github.com/semantica-agi/semantica.git cd semantica pip install -e ".[all]" pip install jupyter ``` ```bash jupyter notebook ``` You can also run the cookbook using Docker:docker run -p 8888:8888 semantica/semantica-cookbook