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Documentation Index

Fetch the complete documentation index at: https://docs.ontoic.com/llms.txt

Use this file to discover all available pages before exploring further.

Your knowledge graph is a living, semantic network of everything you’ve ever captured in Ontoic. Every note, PDF, web clip, quote, and idea becomes part of a single connected structure — one that grows more useful the more you add to it. Instead of filing things into folders or remembering to tag them, you let meaning do the organising.

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How it works

When you add a piece of content, Ontoic describes it in the language of what already exists in your graph before embedding it. This means a note you write today will land next to a research paper you imported six months ago — if they share meaning — even if you never thought to connect them yourself. Each new node is embedded in the context of your existing graph, not in isolation. The result is a network where position carries meaning: nearby nodes are conceptually related, distant nodes are not, and the map shifts as your graph grows.

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What makes it different from folders

Traditional tools ask you to decide where something belongs at the moment you capture it. That requires you to already know how a piece of information relates to everything else — which is rarely true when you’re in the middle of research. Ontoic removes that decision entirely. There are no folders to maintain, no tag taxonomies to keep consistent, and no filing step between capturing something and being able to find it. Connections emerge from the content itself, which means your graph reflects what you actually think, not how you happened to organise things on a given day.

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What gets connected

Ontoic connects every content type you bring in:
  • Notes — freeform writing and fragments you create directly in Ontoic
  • PDFs — research papers, reports, and documents you upload
  • Web clips — pages and articles you save from the browser
  • Quotes — extracted passages from any source
  • Fragments — short-form captures like highlights or stray ideas
  • Claude MCP captures — content sent directly from Claude threads via MCP-compatible AI assistants
All of these become first-class nodes in the same graph, connected by the same semantic layer regardless of their origin or format.
The graph gets smarter as it grows. Each new node you add gives Ontoic more context for embedding everything that follows, so connections become more precise over time. Start capturing broadly — the structure will emerge.

Nodes & Nuclei

Learn how individual nodes form and how dense clusters crystallise into emergent topic summaries.

Ask & Retrieval

Query your knowledge graph in plain language and get citation-backed answers from your own content.