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KaifAhmad1
a91b41c995
- Split graph_analyzer.py into separate modules: - centrality_calculator.py: Centrality measures calculation - community_detector.py: Community detection algorithms - connectivity_analyzer.py: Connectivity analysis - Add missing files from development roadmap: - Utils module: validators.py, helpers.py, types.py - Parse module: pdf_parser.py, docx_parser.py, pptx_parser.py, etc. - Normalize module: text_cleaner.py, language_detector.py, encoding_handler.py - Split module: sliding_window_chunker.py, semantic_chunker.py, etc. - Semantic extract module: ner_extractor.py, relation_extractor.py, etc. - Ontology module: class_inferrer.py, property_generator.py, etc. - Triple store module: base_adapter.py, blazegraph_adapter.py, etc. - KG module: graph_builder.py, entity_resolver.py, etc. - Embeddings module: text_embedder.py, image_embedder.py, etc. - Vector store module: base_adapter.py, pinecone_adapter.py, etc. - Reasoning module: inference_engine.py, sparql_reasoner.py, etc. - Pipeline module: execution_engine.py, failure_handler.py, etc. - Streaming module: kafka_adapter.py, pulsar_adapter.py, etc. - Monitoring module: analytics_dashboard.py, quality_assurance.py, etc. - Export module: json_exporter.py, csv_exporter.py, etc. - Cookbook examples and use cases - Jupyter notebooks for tutorials and experiments - All files include comprehensive docstrings and TODO comments - Maintains modular design and separation of concerns
7 lines
164 B
Python
7 lines
164 B
Python
"""
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Document processing examples for Semantica framework.
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This module contains examples for processing various
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document formats using the Semantica framework.
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"""
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