Naxis Technologies Docs
Live demo

How it works

The knowledge graph — your company's knowledge as a map

The Knowledge graph page has two ways of looking. KNOWLEDGE — the default — draws what the documents actually know: the people, organisations, projects, places, events and ideas they talk about, joined by the relations the documents themselves state — who works for whom, who pays whom, what caused what. Every node and thread carries its evidence: click anything and the documents behind it are one tap away. SOURCES & ACCESS is the structural picture underneath: sources, documents, groups and who-may-read-what. Both are pictures of the index, not a separate system — they redraw from the real data and change nothing about how answers are found.

The Knowledge graph: labelled dots for people, organisations and projects joined by relations, with Knowledge and Sources & access modes and a count of things the documents know.
The knowledge graph — what the documents know, drawn as a map; click anything to see the passages behind it.

Reading the Knowledge view

Colours are typesTeal people, steel-blue organisations, copper events (a second ring marks a thing that HAPPENED), violet projects, slate places, green things & ideas. Size is how many documents mention it.
Threads are relationsEach colour is a kind — caused, resolved, works for, supplies, pays, decided… Hover any thread and it says its sentence: “X caused Y · 4 documents”. Light travels ALONG a directed thread, from the actor to the acted-upon — you can watch what caused what. Dotted grey threads just mean “appear together”.
The inspectorClick anything: its type, how many documents mention it, its connections (each one a click), and the documents themselves — the evidence — opening right there.
One name per thingThe same real-world thing under different names — shortenings, initials, legal suffixes, even translations — is recognised at analysis time and shown as ONE node, with every spelling kept as evidence. Two people who merely share a name are never merged.
The knowledge grows inTypes and relations come from the document analysis that runs in the background; on a fresh corpus the map starts plain and sharpens as documents are read. A chip on the stage counts the documents still in the queue. Very large libraries are paced — if the queue runs long, the chip says so and opens a support ticket to raise the pace for your deployment.

Reading Sources & access

SourcesThe big steel-blue anchors. Size follows how many documents each holds.
DocumentsThe detail layer — zoom in and they materialise around their source; a copper core marks a document NOT readable by everyone.
Groups & peopleWho belongs to which group, which groups reach which documents, where guests come in — the restricted-documents chip is a one-click audit lens.

One person's view

Pick a person in the selector and the map redraws as THAT person's world: only the documents their access reaches, only the groups that touch them. It is the same live preview the access rules produce everywhere else — a one-glance answer to “what would one person see?”, before you trust a new group setup.

Working the map

Admins see the whole company's map; a person's view shows their access, which admins can already inspect under Users. The graph is also available to a connected assistant over MCP (get_knowledge_graph, with an admin key) — the same tool can ask for one person's view or one group's view instead of the whole company's.

Was this page helpful?
Was this page helpful? Sign in with Google Sign in to tell us — or leave a comment.

Last updated 20 Sep 2026