Release v0.2.0

• 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