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> For a complete documentation index, see https://docs.nvidia.com/cuvs/llms.txt.
> For full documentation content, see https://docs.nvidia.com/cuvs/llms-full.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/cuvs/_mcp/server.

# Array Types

NVIDIA cuVS APIs operate on arrays that describe vectors, matrices, outputs, and graph connectivity. Most APIs use dense arrays. A smaller set of C++ APIs accept sparse arrays for sparse features or graph-style inputs.

- [Dense Arrays](/user-guide/api-guides/core-types/array-types/dense-arrays): pass dense vectors, matrices, and outputs into NVIDIA cuVS APIs across supported languages.
- [Sparse Arrays](/user-guide/api-guides/core-types/array-types/sparse-arrays): use CSR and COO sparse matrix views with NVIDIA cuVS C++ APIs that accept sparse inputs.