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KaifAhmad1
727285171a
- Reorganize navigation structure (left sidebar: Home, Quickstart, Installation, Cookbook Recipes, Learning More, Deep Dive, API References) - Add TOC sections on homepage (Features, How to Read this Documentation, Resources) - Create new pages: learning-more.md, deep-dive.md, community-projects.md, citation.md, license.md - Add Mermaid diagrams for architecture, workflows, and concepts - Enhance all documentation pages with better code examples and explanations - Add custom CSS for modern aesthetic (docs/css/custom.css) - Update mkdocs.yml with Material theme, Mermaid support, and enhanced features - Improve user-friendly navigation and clear visual hierarchy - Add diagrams and charts throughout documentation
174 lines
4.0 KiB
Markdown
174 lines
4.0 KiB
Markdown
# Learning More
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Additional resources, tutorials, and advanced learning materials for Semantica.
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## Additional Tutorials
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### Video Tutorials
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Coming soon! We're working on video tutorials covering:
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- Getting started with Semantica
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- Building your first knowledge graph
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- Advanced techniques and patterns
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- Real-world use cases
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### Blog Posts & Articles
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Stay tuned for blog posts covering:
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- Best practices for knowledge graph construction
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- Performance optimization tips
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- Integration guides
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- Case studies and success stories
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## Best Practices
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### Knowledge Graph Design
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1. **Start with Clear Objectives**
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- Define what you want to extract
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- Identify key entities and relationships
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- Plan your schema before processing
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2. **Iterate and Refine**
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- Start with a small dataset
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- Validate extracted entities
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- Refine extraction patterns
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- Scale up gradually
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3. **Quality Over Quantity**
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- Focus on accuracy
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- Validate relationships
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- Resolve conflicts early
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- Maintain data quality
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### Performance Tips
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```python
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# Process in batches for large datasets
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sources = ["doc1.pdf", "doc2.pdf", "doc3.pdf"]
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batch_size = 10
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for i in range(0, len(sources), batch_size):
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batch = sources[i:i+batch_size]
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result = semantica.build_knowledge_base(batch)
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# Process and save results
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```
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### Integration Patterns
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#### Pattern 1: Incremental Building
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```python
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# Build knowledge graph incrementally
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kg = None
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for source in sources:
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result = semantica.build_knowledge_base([source])
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if kg is None:
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kg = result["knowledge_graph"]
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else:
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kg = semantica.kg.merge([kg, result["knowledge_graph"]])
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```
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#### Pattern 2: Pipeline Processing
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```python
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# Create a processing pipeline
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pipeline = [
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("ingest", semantica.ingest.from_file),
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("parse", semantica.parse.document),
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("extract", semantica.semantic_extract.entities),
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("build", semantica.kg.build_graph)
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]
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for step_name, step_func in pipeline:
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data = step_func(data)
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```
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## Advanced Topics
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### Custom Extractors
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Create custom entity extractors:
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```python
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from semantica.semantic_extract import BaseExtractor
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class CustomExtractor(BaseExtractor):
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def extract(self, text):
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# Your custom extraction logic
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return entities
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```
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### Custom Export Formats
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Add custom export formats:
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```python
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from semantica.export import BaseExporter
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class CustomExporter(BaseExporter):
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def export(self, kg, path):
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# Your custom export logic
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pass
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```
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### Performance Optimization
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- Use GPU acceleration when available
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- Process documents in parallel
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- Cache embeddings
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- Optimize graph queries
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## Community Resources
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### GitHub Discussions
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Join discussions on:
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- [General Discussion](https://github.com/Hawksight-AI/semantica/discussions)
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- [Q&A](https://github.com/Hawksight-AI/semantica/discussions/categories/q-a)
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- [Show and Tell](https://github.com/Hawksight-AI/semantica/discussions/categories/show-and-tell)
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### Contributing
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Want to contribute? See our [Contributing Guide](https://github.com/Hawksight-AI/semantica/blob/main/CONTRIBUTING.md).
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### Examples Repository
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Check out the [examples repository](https://github.com/Hawksight-AI/semantica/tree/main/examples) for more code samples.
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## Related Projects
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### GraphRAG
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Semantica works great with GraphRAG implementations. See our [GraphRAG examples](cookbook.md#advanced-rag).
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### Vector Databases
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Integrate with vector databases:
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- Pinecone
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- Weaviate
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- Qdrant
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- Milvus
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### Knowledge Graph Databases
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Export to and work with:
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- Neo4j
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- Amazon Neptune
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- ArangoDB
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- Blazegraph
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## Next Steps
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- **[Deep Dive](deep-dive.md)** - Advanced architecture and internals
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- **[API Reference](api.md)** - Complete API documentation
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- **[Cookbook](cookbook.md)** - Interactive tutorials
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- **[Examples](examples.md)** - More code examples
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---
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Have questions or suggestions? [Open an issue](https://github.com/Hawksight-AI/semantica/issues) or [start a discussion](https://github.com/Hawksight-AI/semantica/discussions)!
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