Capturing Content into Your Ontoic Knowledge Graph

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.

Every node in your Ontoic knowledge graph begins as a capture. Whether you jot down a passing thought, clip an article, upload a research paper, or save something straight from a Claude conversation, Ontoic pulls each piece of content into your graph, connects it to what you already know, and makes it queryable — no manual filing required.

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Capture methods

You can also paste a URL into the web app to ingest web content without the extension, or capture on the go from the Ontoic Android app.

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What happens after capture

Ontoic doesn’t just store what you send it — it understands it in context. At ingestion, every source goes through the same enrichment pipeline:

1. Typing — the item is classified by content type (note, web clip, PDF chunk, and so on).
2. Contextual description — before embedding, each item is described in the language of your existing graph, so its meaning is anchored to what you already know rather than to generic training data.
3. Embedding — the contextualised description is embedded into vector space for semantic search and retrieval.
4. Automatic connection — Ontoic links the new node to related nodes already in your graph, surfacing relationships you might not have spotted yourself.

This pipeline runs on every capture, every time, with no input needed from you.

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Mobile

The Ontoic Android app lets you capture notes, URLs, and PDFs from your phone. iOS support is coming soon. Everything captured on mobile flows through the same ingestion pipeline and appears instantly in your web graph.