semantica/docs/learning-more.md

Learning More

Additional resources, tutorials, and advanced learning materials for Semantica.

!!! info "About This Guide" This guide provides structured learning paths, quick references, troubleshooting guides, and advanced topics to help you master Semantica.

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Structured Learning Paths

• :material-school: Beginner Path

  Perfect for those new to Semantica and knowledge graphs.

  Time: 1-2 hours

  Start Path

• :material-compass: Intermediate Path

  For users comfortable with basics who want to build production applications.

  Time: 4-6 hours

  Start Path

• :material-rocket: Advanced Path

  For experienced users building enterprise applications.

  Time: 8+ hours

  Start Path

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Beginner Path (1-2 hours)

1. Installation & Setup (15 min)

   • Installation Guide
   • Configuration Basics

2. Core Concepts (30 min)

   • Core Concepts
   • Getting Started Guide

3. First Knowledge Graph (30 min)

   • Quickstart Tutorial
   • Your First Knowledge Graph

4. Basic Operations (30 min)

   • Examples
   • Extract entities and relationships

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Intermediate Path (4-6 hours)

1. Advanced Concepts (1 hour)

   • Modules Guide
   • Understand: Embeddings, GraphRAG, Ontologies

2. Use Cases (1 hour)

   • Use Cases Guide
   • Implement a complete use case

3. Advanced Examples (1 hour)

   • Examples - Conflict resolution, custom config

4. Quality & Optimization (1 hour)

   • Quality Assurance
   • Performance Optimization

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Advanced Path (8+ hours)

1. Advanced Architecture (2 hours)

   • Architecture Guide
   • Plugin development

2. Production Deployment (2 hours)

   • Security Best Practices
   • Scalability patterns

3. Customization (2 hours)

   • Custom extractors and exporters
   • API extensions

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Quick Reference

Common Operations

from semantica import Semantica
semantica = Semantica()

# Build Knowledge Graph
result = semantica.build_knowledge_base(
    sources=["doc.pdf"],
    embeddings=True,
    graph=True
)

# Extract Entities
entities = semantica.semantic_extract.extract_entities(text)

# Query Graph
results = semantica.kg.query("MATCH (n) RETURN n LIMIT 10")

Configuration Reference

Setting	Environment Variable	Config File	Default
OpenAI API Key	OPENAI_API_KEY	api_keys.openai	None
Embedding Provider	SEMANTICA_EMBEDDING_PROVIDER	embedding.provider	"openai"
Graph Backend	SEMANTICA_GRAPH_BACKEND	knowledge_graph.backend	"networkx"

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Troubleshooting Guide

• :material-alert: Import Errors

  ModuleNotFoundError

  Solution: Verify installation (pip list) and Python version (3.8+).

• :material-key: API Key Errors

  AuthenticationError

  Solution: Set OPENAI_API_KEY environment variable.

• :material-memory: Memory Errors

  MemoryError

  Solution: Use batch processing and graph stores (Neo4j).

• :material-speedometer: Slow Processing

  Long processing times

  Solution: Enable parallel processing and GPU acceleration.

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Performance Optimization

1. Batch Processing

Process multiple documents together for better throughput.

sources = ["doc1.pdf", "doc2.pdf", ..., "doc100.pdf"]
result = semantica.build_knowledge_base(sources, batch_size=10)

2. Parallel Execution

Use parallel processing for independent operations.

result = semantica.build_knowledge_base(
    sources=sources,
    parallel=True,
    max_workers=8
)

3. Backend Selection

Operation	NetworkX	Neo4j	KuzuDB
Graph Construction	⚡⚡⚡	⚡⚡	⚡⚡⚡
Query Performance	⚡⚡	⚡⚡⚡	⚡⚡⚡
Scalability	Low	High	Medium

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Security Best Practices

API Key Management

• DO: Use environment variables, rotate keys regularly.
• DON'T: Hardcode keys, commit to version control.

Data Privacy

• DO: Encrypt sensitive data, use local models.
• DON'T: Send PII to external APIs without protection.

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FAQ

Q: What is Semantica? A: A framework for building knowledge graphs and semantic applications.

Q: Is Semantica free? A: Yes, it is open source. Some features (e.g., OpenAI) require paid APIs.

Q: Can I use Semantica in production? A: Yes, it is designed for production with proper configuration.

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Next Steps

• Deep Dive - Advanced architecture
• API Reference - Complete API documentation
• Cookbook - Interactive tutorials

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!!! info "Contribute" Have questions? Open an issue or start a discussion!

Last Updated: 2024