async def get_index(
            table_name: VectorTableName = Path(
                ...,
                description="The table of vector embeddings to delete (e.g. `vectors`, `entity`, `document_collections`)",
            ),
            index_name: str = Path(
                ..., description="The name of the index to delete"
            ),
            auth_user=Depends(self.providers.auth.auth_wrapper()),
        ) -> WrappedVectorIndexResponse:
            """Get detailed information about a specific vector index.

            Returns comprehensive information about the index including:
            - Configuration details (method, measure, parameters)
            - Current size and row count
            - Build progress (if still under construction)
            - Performance statistics:
                * Average query time
                * Memory usage
                * Cache hit rates
                * Recent query patterns
            - Maintenance information:
                * Last vacuum
                * Fragmentation level
                * Recommended optimizations
            """
            # TODO: Implement get index logic
            indices = (
                await self.providers.database.chunks_handler.list_indices(
                    filters={
                        "index_name": index_name,
                        "table_name": table_name,
                    },
                    limit=1,
                    offset=0,
                )
            )
            if len(indices["indices"]) != 1:
                raise R2RException(
                    f"Index '{index_name}' not found", status_code=404
                )
            return {"index": indices["indices"][0]}  # type: ignore
Get detailed information about a specific vector index.

            Returns comprehensive information about the index including:
            - Configuration details (method, measure, parameters)
            - Current size and row count
            - Build progress (if still under construction)
            - Performance statistics:
                * Average query time
                * Memory usage
                * Cache hit rates
                * Recent query patterns
            - Maintenance information:
                * Last vacuum
                * Fragmentation level
                * Recommended optimizations
            
py/core/main/api/v3/indices_router.py