> For clean Markdown of any page, append .md to the page URL.
> 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.

# Benchmarking Guide

Use these guides to compare vector-search algorithms fairly and run reproducible benchmark workflows with cuVS Bench.

- [Methodologies](/cuvs/user-guide/benchmarking-guide/methodologies): compare indexes using quality buckets, Pareto curves, and consistent build and search metrics.
- [cuVS Bench Tool](/cuvs/user-guide/benchmarking-guide/cu-vs-bench-tool): use cuVS Bench to run reproducible benchmark workflows, prepare datasets, and extend benchmark backends.