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SKILL verified MIT Self-run

Build Aiewf 2024 Rag

skill-hiteshbandhu-skills-i-use-build-aiewf-2024-rag · by hiteshbandhu

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Install

$ agentstack add skill-hiteshbandhu-skills-i-use-build-aiewf-2024-rag

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Build AIEWF 2024 RAG stacks

Action playbook from eight AI Engineer / World's Fair talks. Do not summarize talks — pick a workflow and execute it.

Supporting files (read when needed):

  • [workflows.md](workflows.md) — workflows A–H (steps, deliverables, stop conditions)
  • [source-index.md](source-index.md) — src-NNN → talk learnings in ingest-into-skills

Optional: {SKILL_OUTPUT_DIR}/build-aiewf-2024-rag/

Step 0 — Pick workflow

Use the decision tree below. Open the matching section in [workflows.md](workflows.md).

What is the user trying to do?
├─ Fix PDF/table RAG failures (layout ingest)           → A
├─ Add knowledge graphs (GraphRAG)                        → B
├─ Tune RAG with eval compass                             → C
├─ Harden LLM IO with Pydantic/Instructor                 → D
├─ Unified doc+vector on MongoDB                          → E
├─ Explore beyond RAG (EMT memory tokens)                 → F
├─ Vertical spec-heavy RAG (construction)                 → G
└─ Personal assistant structured data (minimize LLM)    → H

Stop summarizing once a workflow is identified — run its checklist.

Install

cp -r skills/build-aiewf-2024-rag ~/.claude/skills/
cp -r skills/build-aiewf-2024-rag ~/.cursor/skills/
cp -r skills/build-aiewf-2024-rag ~/.codex/skills/

From skills-i-use or ingest-into-skills (playlists/rag-llm-frameworks-aie-world-s-fair-2024/).

Cross-cutting rules

| Rule | Source | |------|--------| | Fix ingest before more retrieval tricks | [src-002 @ 1:21] | | Eval-driven chunk/rerank changes | [src-004 @ 1:48] | | Structured outputs via Pydantic | [src-005 @ 12:19] |

Disputed steps: see [source-index.md](source-index.md). Name workflow A–H; save artifacts to ./skill-outputs/build-aiewf-2024-rag/ when requested; do not auto-commit.

Invocation examples

@build-aiewf-2024-rag our RAG fails on tables in PDFs
when should we add GraphRAG?

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.

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