Career RAG System

A dedicated RAG (Retrieval-Augmented Generation) vault containing career documents — resumes, project descriptions, career strategy, scoring philosophy, and LinkedIn profile data. Integrated into the Arcturus-Prime three-tier RAG system for semantic search and resume tailoring.

Architecture

The career vault lives at ~/Vaults/career/ and is registered as a default knowledge-tier vault in the RAG system (vault-config.ts). It gets ingested alongside all other vaults during RAG builds.

Vault Structure

~/Vaults/career/
├── resumes/           # 9 role-specific resumes + master RAG resume
│   ├── master-rag-resume.md       # Comprehensive source-of-truth
│   ├── daniel-laforce-systems-daniel.md
│   ├── daniel-laforce-network-daniel.md
│   ├── daniel-laforce-devops-daniel.md
│   └── ... (6 more role variants)
├── profile/           # LinkedIn and professional profile data
│   └── linkedin-summary.md
├── projects/          # Technical project descriptions for resume context
│   ├── Arcturus-Prime-platform.md
│   ├── argo-os.md
│   ├── homelab-infrastructure.md
│   ├── applyr-pipeline.md
│   └── network-infrastructure.md
├── strategy/          # Career strategy and positioning
│   ├── career-strategy.md
│   └── candidate-context.md
└── scoring/           # Job scoring philosophy and config
    └── scoring-philosophy.md

Integration with RAG Tiers

Tier	Database	Career Content
Knowledge (Safe)	`rag-store-blog.db`	Sanitized via identity_map.json
Private	`rag-store.db`	Raw content preserved

The career collection appears alongside other vault collections (dev-vault, Arcturus-Prime-technical, argo-os-docs, etc.) in the RAG admin UI at /admin/rag.

Documents

Master RAG Resume

The master-rag-resume.md is the comprehensive source-of-truth for resume generation. It contains:

Career level guide (which roles = entry vs mid vs senior)
5 professional summary variants (Systems, DevOps, Network, Security, General IT)
Complete technical skills inventory with experience context
All work experience with tagged bullets for role-specific filtering
Personal projects with quantified metrics
Certifications and education

Role-Specific Resumes

9 pre-tailored resumes converted from .docx:

Desktop Analyst, IT daniel, IT Support daniel
Network Administrator, Network daniel, NOC daniel
Project daniel, Systems Administrator, Systems daniel

Career Strategy

Documents covering target roles, salary expectations, employment gap framing, geographic preferences, and deal breakers.

Scoring Philosophy

Documents the job scoring system’s logic — how roles are categorized, why entry-level DevOps scores highest, and how seniority modifiers work.

Usage

Querying via RAG

Search the career collection from the admin RAG UI (/admin/rag) or programmatically:

const results = await store.search(query, {
  collection: 'career',
  limit: 5,
});

Rebuilding

cd ~/Development/Arcturus-Prime
npx tsx packages/argonaut/scripts/build-blog-rag.ts --tier knowledge

Adding Content

Drop new .md files into the appropriate subdirectory under ~/Vaults/career/ and rebuild. The RAG system will detect new documents automatically.

Relationship to Applyr

The Applyr service (~/Development/applyr/) uses career data for AI-powered resume tailoring:

applyr/data/candidate_context.md — candidate positioning guide
applyr/data/resumes/master/daniel_laforce_master_rag.md — source material for generation

The career vault mirrors and extends this data. Changes to career strategy should be reflected in both locations.