- Add registry.py for custom conflict method registration
- Add methods.py with reusable conflict functions
- Add config.py for configuration management
- Add conflicts_usage.md with comprehensive usage guide
- Enhance __init__.py with algorithms documentation and convenience functions
- Enhance all existing files with detailed algorithms documentation
- Add detect_and_resolve() convenience function
- Support environment variables and config files for configuration
- Add registry.py for method registration system
- Add methods.py with reusable deduplication functions
- Add config.py for deduplication configuration management
- Enhance __init__.py with comprehensive exports and deduplicate() convenience function
- Update all existing files with enhanced docstrings including detailed algorithms
- Add deduplication_usage.md with comprehensive usage examples
- Add semantic_extract_usage.md with comprehensive usage examples
- Add split_usage.md with comprehensive usage examples
- Follow same structure pattern as semantic_extract, split, and core modules
- Add registry.py for method registration system
- Add methods.py with reusable orchestration functions
- Enhance __init__.py with comprehensive exports and build() convenience function
- Update config_manager.py with enhanced documentation
- Follow same structure pattern as semantic_extract and split modules
- Add pattern, regex, rules, ML, HuggingFace, and LLM extraction methods
- Implement unified LLM provider system (OpenAI, Gemini, Groq, Anthropic, Ollama)
- Add HuggingFace model loader for NER, relation, and triplet extraction
- Enhance all extractors with method parameter and fallback chain support
- Add comprehensive documentation with algorithms and supported methods
- Add plugin registry system for custom providers and methods
- Add configuration management with environment variable support
- Implemented all 25 use case notebooks across 5 domains (Trading, Healthcare, Finance, Cybersecurity, Renewable Energy)
- Added real data sources: APIs, RSS feeds, database connections, streaming sources
- Each notebook uses 20+ Semantica modules with complete end-to-end pipelines
- Multi-source ingestion with lists of URLs for feeds and APIs
- Complete workflows: ingestion → parsing → extraction → KG building → analysis → export → visualization
- All notebooks include realistic data structures and error handling
- Updated renewable energy notebooks: Environmental_Impact, Grid_Management, Resource_Optimization, Supply_Chain_Analysis
- Added progress tracking to all ontology module files (16 files)
- Added progress tracking to all pipeline module files (7 files)
- Added progress tracking to all reasoning module files (7 files)
- Implemented consistent progress tracking pattern across all modules
- All methods now use start_tracking, update_tracking, and stop_tracking
- Added executable Python code cells to all three getting started notebooks
- Improved markdown formatting with consistent header hierarchy
- Removed excessive comments from code cells for better readability
- Added markdown explanation cells between code sections
- Enhanced documentation structure and clarity
- Updated all 6 files in conflicts module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, conflict_analyzer.py, conflict_detector.py, conflict_resolver.py, investigation_guide.py, source_tracker.py
- Updated all 5 files in context module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, agent_memory.py, context_graph.py, context_retriever.py, entity_linker.py
- Updated all 12 files in visualization module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, kg_visualizer.py, embedding_visualizer.py, analytics_visualizer.py, ontology_visualizer.py, quality_visualizer.py, semantic_network_visualizer.py, temporal_visualizer.py, utils/__init__.py, utils/color_schemes.py, utils/export_formats.py, utils/layout_algorithms.py
- Updated all 10 files in vector_store module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, vector_store.py, faiss_adapter.py, pinecone_adapter.py, weaviate_adapter.py, qdrant_adapter.py, milvus_adapter.py, hybrid_search.py, metadata_store.py, namespace_manager.py
- Updated all 7 files in utils module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes, functions, and utilities
- Standardized Author and License information
- Files updated: __init__.py, constants.py, exceptions.py, helpers.py, logging.py, types.py, validators.py
- Updated all 8 files in triple_store module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, triple_manager.py, query_engine.py, bulk_loader.py, jena_adapter.py, blazegraph_adapter.py, rdf4j_adapter.py, virtuoso_adapter.py
- Updated all 7 files in split module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, chunk_validator.py, provenance_tracker.py, semantic_chunker.py, sliding_window_chunker.py, structural_chunker.py, table_chunker.py
- Updated all 11 files in semantic_extract module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for all classes and methods
- Standardized Author and License information
- Files updated: __init__.py, coreference_resolver.py, event_detector.py, extraction_validator.py, llm_enhancer.py, named_entity_recognizer.py, ner_extractor.py, relation_extractor.py, semantic_analyzer.py, semantic_network_extractor.py, triple_extractor.py
- Updated both files in seed module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved docstrings for SeedDataManager, SeedDataSource, and SeedData classes
- Added comprehensive method documentation with Args, Returns, Raises, and Examples
- Standardized Author and License information
- Files updated: __init__.py, seed_manager.py
- Updated all 8 files in reasoning module to match standardized docstring format
- Added Key Features, Main Classes, Example Usage sections to all modules
- Enhanced module-level documentation with detailed descriptions
- Improved type hints and error handling across all reasoning components
- Standardized Author and License information
- Files updated: __init__.py, abductive_reasoner.py, deductive_reasoner.py, explanation_generator.py, inference_engine.py, rete_engine.py, rule_manager.py, sparql_reasoner.py
- Update all 8 pipeline module files to follow consistent docstring format
- Add comprehensive module-level documentation with Key Features section
- Include Main Classes listing for each module
- Standardize Example Usage with >>> prompts (matching language_detector.py format)
- Add Author and License sections to all modules
- Enhance code clarity and maintainability for open-source contribution
Refactored files:
- __init__.py: Main pipeline module exports and documentation
- execution_engine.py: Pipeline execution and orchestration
- failure_handler.py: Error handling and retry mechanisms
- parallelism_manager.py: Parallel execution management
- pipeline_builder.py: Pipeline construction DSL
- pipeline_templates.py: Pre-built pipeline templates
- pipeline_validator.py: Pipeline validation and testing
- resource_scheduler.py: Resource allocation and scheduling
Mohd Kaif