build-rag-pipeline SKILL.md skillA
This file is byte-identical to the first copy the registry indexed, one of 4 indexed copies. Same content hash, so the same checks give both the same grade.
build-rag-pipeline from velimirmueller/ai-development-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add velimirmueller/ai-development-skills/build-rag-pipeline@git:20261009.b6d037aPins git:20261009.b6d037a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- velimirmueller/ai-development-skills
- Path
skills/ai/build-rag-pipeline/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261009.b6d037a, committed Oct 9, 2026
- Size
- 7,103 bytes
- Repository stars
- 6
- License
- MIT
Use when building retrieval-augmented answers over your own documents — structure-aware chunking, pinned embeddings in pgvector, hybrid vector plus full-text search with RRF, tenant isolation in the query, citations, an "I don't know" path, retrieval evals before prompt tuning.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Build a RAG Pipeline
Ingest, normalize, chunk, embed, store, retrieve, answer with citations. The order of work matters: build retrieval and measure it (recall@k, MRR) **before** touching the answer prompt. Most bad RAG answers are retrieval failures that a prompt cannot fix. Store default: `ai.rag_store: pgvector` in the profile.
## 1. Audit current state
Read `.claude/stack-profile.md` (`database`, `ai.rag_store`, `ai.provider`, `languages`, `backend.track`). If absent, detect per [stack-profile.md](../../core/_shared/stack-profile.md). Change nothing yet:
```bash
grep -rln "pgvector\|halfvec\|vector(" migrations drizzle alembic src 2>/dev/null # existing vector schema
grep -rniE "embed|chunk|similarity|cosine|<=>" src --include=*.ts --include=*.py | head # ad hoc retrieval code
ls src/platform/llm src/rag evals/datasets 2>/dev/null # seam, RAG module, golden sets
grep -rn "tenant_id\|row level security\|enable row level" migrations drizzle alembic 2>/dev/null | head
psql "$DATABASE_URL" -c "select extname, extversion from pg_extension where extname='vector'" # expect 0.8.3 or later
```
…Read the whole file at its exact version.
How to install
mdr add velimirmueller/ai-development-skills/build-rag-pipeline@sha256:5af20c203fb3a8f7The line at the top of this page pins the label git:20261009.b6d037a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_skhm7lsqgkv6ipvd)
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Versions
The registry has recorded 1 version of this file, committed on Oct 9, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (7103 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
velimirmueller/ai-development-skills · 6 stars · license MIT · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_skhm7lsqgkv6ipvd GET https://markdownregistry.com/api/v1/resolve?ref=velimirmueller/ai-development-skills/build-rag-pipeline GET https://markdownregistry.com/api/v1/blob/5af20c203fb3a8f790009ab8ad16b93b2a7c893c9bd8ae0d63603c2eef6ea168
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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