Version 0.0.7

Added

• Support for multiple distance metrics in HNSW index creation:
  • "cosine" (default): cosine distance
  • "L2": Euclidean distance
  • "L1": Manhattan distance
• Metric selection is now configurable via the space argument in VectorDatabase.create_index_hnsw()
• Internal Rust implementation uses an enum-based dispatch for safe and performant metric switching
• Comprehensive test coverage added for all three metrics using shared query and add APIs

Changed

• Distance metric names (space parameter) are now case-insensitive:
  • Accepts "L1", "l1", "L2", "l2", "Cosine", "cosine", etc.
• Internally stores normalized lowercase form (e.g., "l1") for consistency
• Error messages preserve original user input for clarity