# Document RAG Pipeline Performance Metrics Real World

> Sub-skill of document-rag-pipeline: Performance Metrics (Real-World).

- Skill: `vamseeachanta/document-rag-pipeline-performance-metrics-real-world-2` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/document-rag-pipeline-performance-metrics-real-world-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/document-rag-pipeline-performance-metrics-real-world-2/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/vamseeachanta/document-rag-pipeline-performance-metrics-real-world-2

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# Performance Metrics (Real-World)

## Performance Metrics (Real-World)


From O&G Standards processing (957 documents):

| Metric | Value |
|--------|-------|
| Total documents | 957 |
| Text extraction | 811 PDFs |
| OCR processed | 96 PDFs |
| DRM protected | 50 PDFs |
| Total chunks | 1,043,616 |
| Embedding time | ~4 hours (CPU) |
| Search latency | <2 seconds |