Rag Perf

---
name: rag-perf
version: "2.6.0"
description: >-
  Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf
  load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or
  for deploying / repairing services (use rag-blueprint).
license: Apache-2.0
compatibility: Repository checkout with uv; Python 3.11+; run from repo root; uv sync --project scripts/rag-perf (perf deps live in scripts/rag-perf/pyproject.toml); reachable RAG server (default http://localhost:8081); for synthetic queries an OpenAI-compatible chat-completions endpoint is required (default http://localhost:8999/v1/chat/completions); aiperf load-test phase uses the bundled nvidia_rag endpoint plugin, registered automatically when rag-perf is installed editable.
metadata:
  tool-version: "0.1.0"
  author: NVIDIA RAG <foundational-rag-dev@exchange.nvidia.com>
  github-url: "https://github.com/NVIDIA-AI-Blueprints/rag"
  endpoint-openapi-schemas:
    - docs/api_reference/openapi_schema_rag_server.json
  argument-hint: rag-perf | aiperf | TTFT | latency | throughput | concurrency sweep | bottleneck | retrieval / reranker tuning | profile-only | synthetic queries | quick_profile.yaml | single_run.yaml | sweep.yaml | uv run --project scripts/rag-perf
  tags:
    - nvidia
    - blueprint
    - rag
    - performance
    - benchmarking
    - aiperf
    - nvidia-rag-blueprint
  languages: