Local & private AI for rag
Retrieval-augmented generation: embedding your own documents locally and having a model answer from them, often with citations.
Home RAG assistant for embedded-systems docs on Proxmox
Ollama, llama.cpp, Open WebUI, BGE-M3 and SearXNG in a GPU-passthrough VM. Moving from 6 GB to 16 GB of VRAM changed which models could run.
Overnight video-to-RAG pipeline for 2,000+ saved clips
A local Qwen3.6 35B with ffmpeg, scenedetect and Whisper indexes saved TikToks and YouTube videos, so you can later find 'that one plumbing tutorial'.
Offline RAG over 268 Obsidian notes, queryable from a coding agent
nomic-embed-text, ChromaDB and mistral-nemo:12b give cited answers from a vault of internal docs, and an MCP server lets the coding agent search it too.
mdrag: a Rust CLI to chat with an Obsidian vault
A self-contained RAG tool built on SQLite with sqlite-vec and gemma3:1b. It answers 'how did I fix that Git submodule issue?' from your own notes.
Obsidian vault Q&A with Mini-RAG and llama.cpp
An Obsidian plugin that chats with a note or folder, using separate local llama.cpp servers for chat and embeddings (Ollama works too).