hi. im interested in digitizing all the Epstein files into vector format and then reference training it with a LLM model. After that I want to convert and tag the data into markdown files that would be easily searchable via visual mind maps and context search. this is a volunteer type project, meaning no money involved but this would look great on a resume, portfolio and online as we discover nuggets of information that others have missed and post that information online. the tools we plan to use are n8n, obsidian, qdrant, docling. if you are interested in participating dm and tell me about your relevant experience and why you are interested. thx

in 2026 either you own the tech stack and the hardware on which you are hosting your AI automation or you are exploited for data, for knowledge and gated. Are you not smart enough to understand that in 2026 your data and your actions are the only value left. each person's actions and knowledge is converted into a product aka GPP (Gross Personal Product not Gross Domestic Product)

so we have a client that wanted to quickly search through and structure data that pertains to the recent epstein files release. we needed to keep the automation localized so no trash saas services that you get advertised on here. no GHL, make, zapier, airtable, apify, apollo our selection of tools: n8n + qdrant + docker + ollama + obsidian the result: -chat like interface for a human to interact with the data using qdrant & obsidian. - we use qdrant to store and AI reference - we use obsidian to chat with, tag, edit, hyperlink and graph data this saved and continues to save our client hundreds of hours during their investigative research. there are 0$ costs associated with apis, saas, tokens. this system runs on a few good desktop with dual gpus or one overpriced nvidia dgx spark. if we get a lot of interest we may release a video. happy automating. PS video of a cute dog. if you know you know.