Files
semantica/cookbook/advanced_examples/__init__.py
T
KaifAhmad1 aa10b9434c feat: Implement comprehensive Semantica framework structure
- Add complete libs/semantica framework with 20+ production-ready modules
- Implement core orchestration, configuration, and plugin management
- Add comprehensive data ingestion (files, web, streams, databases, emails)
- Implement parsing for documents, web content, structured data, code, media
- Add data normalization (text, entities, dates, numbers, quality)
- Implement semantic extraction (NER, relations, events, coreference, triples)
- Add ontology management and knowledge graph construction
- Implement graph analytics (centrality, community detection, connectivity)
- Add embeddings generation and vector store management
- Implement pipeline orchestration and streaming processing
- Add security (access control, data masking, PII redaction)
- Implement quality assurance and validation systems
- Add export capabilities (RDF, JSON, CSV, graph formats)
- Create comprehensive cookbook with examples and use cases
- Add basic examples (document processing, web scraping, knowledge graphs)
- Add advanced examples (multi-modal processing, real-time analytics)
- Implement detailed bullet-point comments throughout
- Follow SDK best practices and Python-only implementation
- Add comprehensive pyproject.toml with dependencies and configuration
- Include detailed README with usage examples and documentation

This commit establishes the complete foundation for the Semantica
semantic layer and knowledge engineering framework.
2025-10-22 22:47:05 +05:30

19 lines
783 B
Python

"""
Advanced Examples
This module contains advanced usage examples for the Semantica framework.
Examples:
- multi_modal_processing: Process multi-modal data (text, images, audio)
- real_time_analytics: Real-time data processing and analytics
- federated_knowledge: Federated knowledge graph construction
- streaming_processing: Stream processing and real-time updates
- distributed_processing: Distributed processing across multiple nodes
"""
# from .multi_modal_processing import MultiModalProcessingExample
# from .real_time_analytics import RealTimeAnalyticsExample
# from .federated_knowledge import FederatedKnowledgeExample
# from .streaming_processing import StreamingProcessingExample
# from .distributed_processing import DistributedProcessingExample