I have a line 6 HX Stomp and enjoy it, but I’m also a bedroom producer now and don’t play live anymore. I’m wondering how some of the plug-ins compared to the quality of the amps in the line 6? Plug-ins like the UAD stuff or even guitar rig. I’m thinking of just going console but don’t wanna do that if there’s gonna be problems with latency and inferior modeling.
I haven't used my Ampero Stomp 2 in almost a year. I can't remember the last update I made on it. Before I blow off the dust, where are we at with latest firmware updates? Last I remember, scenes were added which was a big upgrade. Should I hold off on an FW updates?
DDIA is one of those books where you'll read a paragraph three times and still not be sure you got it. I wanted something that could explain concepts back to me in context — not just surface the nearest chunk of text, but actually reason about what section I'm in and what I'm trying to understand.
So I built DDIA-RAG. It's a hierarchical RAG that maps every text chunk to its chapter and section metadata, so it can either do a broad semantic search across the whole book or route a highly specific question to exactly the right section. Localized queries get a step-by-step breakdown rather than a generic answer.
Stack: Next.js, LangGraph, Neon serverless Postgres with pgvector, Drizzle ORM, and Together AI (Llama 3.1 8B for parsing, Nomic for embeddings, Llama 3.1 70B for reasoning).
Demo: https://ddia-rag.vercel.app
Repo: https://github.com/dsound-zz/DDIA-RAG
DDIA is one of those books where you'll read a paragraph three times and still not be sure you got it. I wanted something that could explain concepts back to me in context — not just surface the nearest chunk of text, but actually reason about what section I'm in and what I'm trying to understand.
So I built DDIA-RAG. It's a hierarchical RAG that maps every text chunk to its chapter and section metadata, so it can either do a broad semantic search across the whole book or route a highly specific question to exactly the right section. Localized queries get a step-by-step breakdown rather than a generic answer.
Stack: Next.js, LangGraph, Neon serverless Postgres with pgvector, Drizzle ORM, and Together AI (Llama 3.1 8B for parsing, Nomic for embeddings, Llama 3.1 70B for reasoning).
Demo: https://ddia-rag.vercel.app
Repo: https://github.com/dsound-zz/DDIA-RAG