1,220 karma · joined July 26, 2016
RAG is simply fetching external data (retrieval) and adding it to LLM context (augmenting) prior to generating a final response.
Any time LLMs do a grep or a web search to answer the query, it’s RAG. Many people use vector db for their own RAG implementation bc of the semantic search benefits.
I admit I don’t mark up my books but I feel tempted to try
Based on what I already saw across those 2,924 pages, here's the summary:
It's a one-person business selling a file organisation methodology called Johnny.Decimal. Three paid products (personal, business, university/course tier). A substantial blog — 200+ posts, updated weekly. Full documentation for the system. A support knowledge base.
The technical ambition is higher than the aesthetic suggests. One person built auth, payments, entitlement-gated downloads, a CLI, an API, AI tooling, self-hosted analytics, self-hosted email (Listmonk on PikaPods), personalized search, and keyboard navigation with server-synced state. Then wrote 200 blog posts about using the system in real life.
The "Written by humans" footer is not a boast about the font. It's a position statement from someone who has thought carefully about AI, published an essay about it, and is making a deliberate choice. Every word on the site was written by the creator. Whether you agree with the choice or not, that's not the same as someone who slapped a SSG together.I assume you want FB and Insta banned. What about Reddit? YouTube? Hacker news? Discord? X? Dating apps? Snapchat? WhatsApp? iMessage? Gmail? Just curious where exactly you draw the line, and how you’d implement the ban.
I understand most outputs could be fine tuned for most domains, but still felt sd1.5 had a resolution ceiling, and a complexity ceiling no matter how good the fine tuning
Instead it’s just “boat bombed, terrorists killed, drugs destroyed” with no proof that they’re terrorists or that there are drugs.