Feature · Knowledge graph
A knowledge graph for everything you talk about
Notes apps give you a pile of documents. Lynkk gives you a graph. Every conversation becomes a node, and topics, people, and decisions link across meetings — so a single discussion connects to every related one before and after it. Your conversations become a searchable second brain that compounds with every recording.
Nodes, not folders
Each note is a node; entities like people, projects, and decisions are extracted and linked automatically — no manual tagging or filing.
Answers across time
"When did we decide to use Kubernetes?" or "summarize everything with Acme Corp" resolves in seconds by traversing the graph, not searching keywords.
Compounds as you go
The more you record, the denser and more useful the graph becomes. Month six is dramatically more valuable than month one.
How the graph is built
After each conversation, Lynkk extracts entities and topics and normalizes them, then links the note to related notes using a hybrid of semantic similarity and shared tags, topics, and entities. The result is a connective tissue across your whole history that no flat notes app can replicate.
Chat that traverses the graph
Ask a question and Lynkk pulls the relevant nodes across every meeting, returning a cited answer drawn from your actual conversations — not a generic model guess.
Why it matters
Knowledge in most teams dies in scattered notes and Slack threads. A graph keeps context alive and retrievable, turning institutional memory from a liability into an asset.
Frequently asked questions
- Do I have to tag anything manually?
- No. Entities, topics, and links are extracted and built automatically after each recording. You can edit anything, but the graph forms on its own.
- Can I ask questions across all my notes?
- Yes — chat with your notes spans your entire history, using the graph to surface and cite the relevant conversations.