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RAG Pipeline Logic · aiskillstore | DecimalAI

ai mlby aiskillstore

RAG Pipeline Logic

aiskillstore/rag-pipeline

Source aiskillstore/marketplace ↗License Not recorded

Details on the Retrieval Augmented Generation pipeline, Ingestion, and Vector Search.

SkillScore100Maintained

Automatic

AI Engineer pack

Last verified 8/22/2026

What it changes

Passed 22 of 22 test cases with the skill, and 8 of 22 without it.

Without skill36%

With skill100%

Checks it passed that the model alone missed

Specifies vector dimensions as 768
Specifies an overlap of 100 characters
Specifies backend/agents.py as the file path

and 16 more in the full report

14 fixed8 passed either way0 still failing0 broke

Pass-rate lift: +64 pp
Tokens: -40%
Agent turns: 0%
Response time: -59%

Model gemini-3.6-flashMeasured 8/22/2026v122 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/aiskillstore-rag-pipeline/SKILL.md https://app.decimal.ai/s/aiskillstore-rag-pipeline/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add aiskillstore-rag-pipeline, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/aiskillstore-rag-pipeline/ and pins it in .decimal/skills.lock

decimalai skills add aiskillstore-rag-pipeline

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/aiskillstore-rag-pipeline/SKILL.md https://app.decimal.ai/s/aiskillstore-rag-pipeline/SKILL.md

Raw file: /s/aiskillstore-rag-pipeline/SKILL.md ↗ · machine-readable summary at /s/aiskillstore-rag-pipeline.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 14

Prompt

Where in the project tree is the custom agent execution wrapper implemented? Provide the relative file path.

What was checked, without and with the skill
Checked	Without skill	With skill
Specifies backend/agents.py as the file path	Missed	Passed

case-11 · gemini-3.6-flash · 8/22/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md25 linessingle file

RAG Pipeline Logic

Ingestion

Script: backend/ingest.py
Process:
1. Scans docs/.
2. Cleans MDX (removes frontmatter/imports).
3. Chunks text (1000 chars, 100 overlap).
4. Embeds using models/text-embedding-004.
5. Upserts to Qdrant collection physical_ai_book.
Run: python backend/ingest.py

Vector Search (Qdrant)

Client: qdrant-client
Collection: physical_ai_book
Vector Size: 768 (Gecko-004)
Similarity: Cosine

Prompt Engineering

File: backend/utils/helpers.py.
RAG Prompt: Constructs a prompt containing retrieved context chunks.
Personalization: backend/personalization.py creates system instructions based on software_background and hardware_background of the user.

Agentic Flow

We use a custom Agent class (backend/agents.py) that wraps the LLM calls, allowing for future expansion into multi-agent workflows.

Track record

Benchmark

22 / 22

test cases passed, vs 8 / 22 without

Adoption

Users: 3
Times used: 32

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

aiskillstore / marketplace

skills/abdulsamad94/rag-pipeline/SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

RAG Pipeline Logic

Ingestion

Vector Search (Qdrant)

Prompt Engineering

Agentic Flow

Track record

Benchmark

Adoption

SkillSafety

Source

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