# Search Indexing RAG

> Use this skill for search indexing, embeddings, RAG chunking, freshness, retrieval evaluation, source citations. Trigger when the task involves ai engineering work related to Search Indexing RAG, implementation, audits, debugging, strategy, or validation.

- Skill: `srednoff888-art/search-indexing-rag` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add srednoff888-art/search-indexing-rag`
- Raw SKILL.md: https://api.skillmd.com/api/skills/srednoff888-art/search-indexing-rag/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: srednoff888-art (https://skillmd.com/u/srednoff888-art)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/srednoff888-art/search-indexing-rag

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# Search Indexing RAG

Use this skill for AI Engineering tasks focused on search indexing, embeddings, RAG chunking, freshness, retrieval evaluation, source citations.

## Workflow

1. Clarify the user outcome, constraints, current stack, and definition of done.
2. Inspect local source, artifacts, analytics exports, logs, designs, or docs before changing anything.
3. Check official documentation when APIs, SDKs, policies, search behavior, accessibility rules, or production behavior may have changed.
4. Compare proven open-source patterns for non-trivial choices and adapt ideas without copying incompatible code.
5. Produce the smallest production-ready change or recommendation that satisfies the request.
6. Validate with relevant evidence: tests, lint, typecheck, build, screenshots, crawl output, logs, analytics, or manual scenario.
7. Report commands, files, findings, risks, and next steps clearly.

## Focus Checklist

- Map inputs, owners, dependencies, and constraints.
- Prefer existing project conventions, design systems, and platform primitives.
- Include failure states, privacy/security implications, performance impact, and rollback where relevant.
- Separate facts from assumptions and mark any unverified claims.
- Keep recommendations actionable and prioritized by impact and risk.

## Guardrails

- Do not mix trusted and untrusted retrieval sources without boundaries.
- Do not perform destructive, paid, production, publishing, account-changing, or externally visible actions without explicit user confirmation.
- Do not expose secrets, private keys, tokens, cookies, private analytics, personal data, or confidential business data.
- If validation is impossible, state why and provide a concrete manual verification path.