Book Library: A Local RAG That Answers From My Own PDFs
I turned a folder of downloaded PDF books into an offline RAG chat that answers only from the text and cites the exact page — running entirely on my RTX 3070.
I turned a folder of downloaded PDF books into an offline RAG chat that answers only from the text and cites the exact page — running entirely on my RTX 3070.
I rebuilt all 20 type-in BASIC programs from a 1984 Marvel computer book — bugs and all — as browser and Python ports behind one green-CRT retro menu.
Running an open-source AI short-video generator end-to-end on a local stack — topic in, vertical MP4 out — with a local Ollama model and no paid LLM keys.
I took NVIDIA's pdf-to-podcast blueprint and ran it on a fully local stack — tiered Claude writes the script, Kokoro does the voices, no NVIDIA or ElevenLabs keys.
I wired the open-source Scrapling scraper into Claude Code as a global MCP server, so the agent can fetch, scrape, screenshot, and bypass anti-bot pages itself.