nomic-embed

Retrieval-augmented generation (RAG) allows local LLMs to access external documents without consuming excessive memory, by retrieving only relevant chunks via a small embedding model and vector databa…

A developer updated a homelab's local LLM stack, catching up llama.cpp by 469 builds and upgrading the Qwen generation model from 3.5 to 3.6, the embedding model from nomic v1.5 to v2-moe, and adding …