- Enhanced Graph Store notebook with comprehensive examples and clean formatting
- Fixed GraphStore API usage across all documentation files
- Updated examples to use keyword arguments (labels, properties, start_node_id, end_node_id, rel_type)
- Removed emojis and links from notebook for cleaner markdown
- Made summary section more concise
- Ensured consistency across cookbook notebooks, docs, and module code
- Enhanced introduction/15_Export.ipynb with complete module architecture documentation
- Enhanced advanced/05_Multi_Format_Export.ipynb with all export formats and classes
- Removed HTMLExporter references from intelligence notebooks (class doesn't exist)
- Fixed OWLExporter usage in healthcare notebook (removed invalid export_knowledge_graph call)
- Updated all notebooks to use only class imports, no convenience functions
- Added comprehensive documentation for all exporter classes and methods
- Improved markdown structure and learning objectives in both notebooks
- Rename docs/README.md to docs/DOCS_README.md to avoid conflict with index.md
- Resolves WARNING about README.md conflicting with index.md in strict mode
- This allows CI build to pass with --strict flag
- Change reference/ directory links to reference/core.md
- Change all ../LICENSE links to GitHub URLs
- Change ../README.md link to GitHub URL
- Resolve all 'unrecognized relative link' INFO messages
- Update cookbook.md anchor references from #introduction to #core-tutorials
- Update cookbook.md anchor references from #use-cases to #industry-use-cases
- Fix anchor links in cookbook.md (#core-tutorials, #industry-use-cases)
- Convert all notebook links to GitHub URLs for proper resolution
- Fix intelligence notebook filenames
- Update all use case notebook links to use absolute GitHub paths
- Resolve all WARNING level issues in MkDocs strict build
- Update all notebooks to use generate_embeddings() instead of generate()
- Update docs/reference/embeddings.md to remove references to removed components
- All notebooks now use data_type='text' parameter for embedding generation
- Updated 11 notebooks across introduction, use_cases, and advanced directories
- Restructured 18_Deduplication.ipynb with comprehensive module overview
- Added detailed explanations of module capabilities and architecture
- Improved markdown formatting and removed emojis
- Reorganized content to focus on module capabilities rather than individual classes
- Added clear examples for all major features
- Updated documentation for consistency across all files
Resolved merge conflicts by:
- Removing statistics functionality from ConflictResolver and ConflictAnalyzer
- Removing detect_and_resolve convenience function
- Updating all documentation and examples
- Adding by_source analysis capability
- Updating method signatures to match new API
- Add PyPI installation instructions to all 72 cookbook notebooks
- Update module lists to include all 8 ingestion modules (FileIngestor, WebIngestor, FeedIngestor, StreamIngestor, DBIngestor, RepoIngestor, EmailIngestor, MCPIngestor)
- Reorder sections: Overview before Installation in all notebooks
- Remove duplicate content from introduction notebooks
- Update docs/cookbook.md with PyPI installation section and enhanced module descriptions
- Add numbering to all notebooks for better sorting
- Introduction: 01-19
- Advanced: 01-12
- Use cases: numbered within each category
- Add Google Colab badges to all 72 notebooks
- Clean up Welcome notebook with proper code cells
- Remove unnecessary print statements and verbose content
- Number all introduction notebooks (01-19)
- Number all advanced notebooks (01-12)
- Number all use case notebooks within each category
- Clean up Welcome notebook with proper code cells
- Remove unnecessary print statements
- Improve notebook organization and sorting
- Remove email addresses from support, security, contributing, and community docs
- Replace email contacts with GitHub Issues and Security Advisories
- Add discussion templates for Q&A, Ideas, Showcase, and General discussions
- Update SUPPORT.md with Discussions section
- Add PandasIngestor for DataFrame, CSV, JSON ingestion
- Add DuckDBIngestor for CSV, Parquet, Excel with SQL queries
- Add MongoIngestor for MongoDB document databases
- Add ElasticIngestor for Elasticsearch indices
- Add RESTIngestor for generic REST API endpoints
- Add HuggingFaceIngestor for ML datasets from HuggingFace Hub
- Add GDriveIngestor for Google Drive files and folders
- Update registry, methods, and config for new ingestors
- Add comprehensive documentation and code examples
- Add optional dependencies to pyproject.toml
- Add 7 new module sections (Split, Triple Store, Deduplication, Conflicts, KG QA, Context, Seed)
- Organize modules into 6 logical layers
- Add key features and components in bullet points for all modules
- Add quick reference table with all 20 modules
- Add 4 integration pattern examples
- Include algorithms/strategies tables where applicable
- Restructured guides with grid cards and better formatting
- Expanded cookbook to include all 39 use case notebooks
- Streamlined all resource files to be concise
- Removed time estimates throughout documentation
- Fixed broken GitHub links
- Updated version to 0.0.5 and year to 2025
- Improved architecture documentation with Mermaid diagrams
- Enhanced FAQ with plain Q&A format
- Made all documentation consistent and professional
- Restructured modules.md with logical layers and removed unused charts
- Enhanced concepts.md with grid cards and improved diagrams
- Improved use-cases.md with grid cards and removed decision tree
- Streamlined examples.md with Example Gallery
- Enhanced learning-more.md with structured learning paths
- Expanded cookbook.md to include all 39 use case notebooks
- Improved community-projects.md with grid cards
- Enhanced faq.md with grid card organization
- Removed time estimates throughout all documentation
- Added consistent grid card formatting across all guides
- Standardize table formatting with proper column alignment
- Improve spacing and section separation for better readability
- Consistent formatting for metadata (Difficulty, Time, Prerequisites)
- Better list formatting and code block presentation
- Enhanced table readability across concepts, modules, and use-cases pages
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