Retrieval-augmented and grounded LLM systems

LLM features that answer from the right source instead of from memory: document-grounded assistants, transcript-grounded chat and quality gates around generated output.

Evidence

• Ireland Expat Assistant — A custom GPT that answers from uploaded official documents: step-by-step guidance on Irish visas/IRP, employment permits, tax (PAYE/PRSI/USC), HSE/Medical Card and citizenship. (IRP renewal guide · Tax & budget updates · Healthcare guidance)
• YouTube AI Summarizer — Open-source Chrome extension on the Chrome Web Store: AI summaries, key points, deep analysis, a two-host AI podcast (Gemini TTS) and transcript-grounded chat for any YouTube video, using Groq or Ollama Cloud with the user’s own key. (Published on the Chrome Web Store · 20+ languages · Bring-your-own-key, no subscription)
• Automated AI News Pipeline (this site) — The pipeline behind this site’s Tech News: scheduled GitHub Actions scrape sources, an LLM cascade on Groq rewrites and enhances articles, and layered quality gates (date integrity, language checks, instruction-leak detection, duplicate detection) decide what gets published, with Telegram alerts. (Runs on a schedule with preflight cost checks · Model cascade with fallback tiers)

Keywords

RAG · retrieval-augmented generation · grounded generation · LLM · vector search · prompt design

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