- docs: add copywrie to all Python files; add document LICENSE
- perf: importing fewer classes in `tigergraphx/__init__.py`
- feat: add support for TigerGraph APIs (ping, gsql, get_schema)
- feat: add support for TigerGraph APIs (run_interpreted_query)
- test: add unit test cases to class TigerGraphConnectionConfig
- fix: get_schema_from_db should consider vector attributes
- fix: add multi-edge support in `get_edge_data`
- feat: add method `bfs`
- feat: integrate Ragas for GraphRAG evaluation
- feat: add Ragas-based evaluation for LightRAG
- feat: add Ragas-based evaluation for MSFT GraphRAG
- perf: replace mkdocs-jupyter with jupyter nbconvert for faster ipynb-to-md conversion
- docs: add more examples in "TigerGraphX Quick Start: Using TigerGraph as Graph Database"
- docs: add more examples in "TigerGraphX Quick Start: Using TigerGraph as Vector Database"
- docs: add more examples in "TigerGraphX Quick Start: Using TigerGraph for Graph and Vector Database"
- docs: add evaluation section to LightRAG
- docs: add evaluation content to MSFT GraphRAG
- docs: add examples for query operations APIs
- docs: add BFS example by using method get_neighbors
- docs: add examples for vector operations APIs