yggy
Product Hunt Dominik Müller
yggy launched today: it turns documents and connected systems into a knowledge graph. It keeps sources attached, and lets teams, code, and agents use the same graph.
Based on reporting by Product Hunt, Dominik Müller — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
Most “chat with your data” tools take a shortcut: they chop up documents into chunks and hope a model can make sense of the mess. yggy is aiming at the part people usually skip. It turns cluttered documents and connected systems into a knowledge graph, without asking anyone to design a schema or run a pipeline first.
The pitch is simple enough to fit on the Product Hunt page, but the details matter. Every fact in the graph keeps its source, so the system can show where things came from instead of laundering everything into a blob of text. Duplicates are handled too: they merge automatically, and any merge can be undone.
That makes yggy less like a chat wrapper and more like a shared backend for knowledge. The same graph can be used by a team in the app, by code through an API, and by agents through MCP. That last part is the tell. This isn’t just for people asking questions in a browser.
It’s also hosted in the EU, with the promise that your knowledge stays yours. For teams tired of duct-taped data plumbing, that combination is the real hook: less setup, less guessing, and one source of truth that different tools can all tap into.
My take — AI-written commentary, not fact-checked reporting
This is the right direction: stop pretending a pile of chunks is “knowledge” and build the graph first. The industry has spent long enough mistaking a filing cabinet for a brain, which is very on brand. If AI is going to touch real company data, provenance and undo buttons should be the baseline, not the premium tier.
Read more about this at: Product Hunt
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