Just Throw It In The RAG

Sup folks! Built a local-first RAG system from scratch: a chat tool that only answers from the documents I feed it, cites every claim, and refuses to answer what it doesn't know. No cloud spend and no hallucinations slipping through. This is the video/audio companion to my technical article "Just Throw It In The RAG": https://digitaldopaminellc.substack.com/p/just-throw-it-in-the-rag WHAT YOU'LL SEE: - What RAG actually is, and why it's the unlock for small businesses. - One config file that runs the whole product. With a one-field flip between local (Ollama) and cloud (OpenRouter) - The full pipeline: load → chunk → embed → store → retrieve → generate - Verified citations: the model literally cannot fake a source - Live demo: grounded answers, refusals ("Am I pretty?" is a real eval question 😂), and the re-index feature. 💻 Repo: https://github.com/kdleonard93/rag-starter-kit STACK: TypeScript · LangChain.js · Ollama (gemma3:4b + nomic-embed-text) · Chroma · SvelteKit · Cheerio · Docker PART 2 next week: the eval harness, PostHog observability, one-command Docker deploy, and the cloud path. Subscribe so you don't miss it ✌🏾 - 🦋 Bluesky - https://bsky.app/profile/digitaldopamine.dev - 📸 Instagram - https://www.instagram.com/digital_dopamine_llc/ - 💻 GitHub - https://github.com/kdleonard93 - 👾 Discord - https://discord.com/users/407639833146818570 - 📖 Substack - https://digitaldopaminellc.substack.com/ Get full access to Digital Dopamine at digitaldopaminellc.substack.com/subscribe