Chat with your data.Watch it answer in views.
Knowledge Lens connects your data sources into one knowledge base. The left 20% is a chat; the right 80% is a live canvas that reshapes itself — tables, charts, timelines — based on the kind of question you ask.
Labs experiment · built by Lakeline Data · not a client engagement
- Multi-source KB
- Dynamic views
- RAG
- Vector Search
Sources to canvas, one governed path.
THE QUESTION TYPE PICKS THE VIEW — TABLE, CHART, MAP, OR NARRATIVE — WITH DRILL-DOWN INTACT
Which suppliers slipped delivery SLAs this quarter?
Six suppliers missed SLA. Ranked view on the right — two are trending worse.
ASK A “WHY” QUESTION AND THE CANVAS BECOMES A NARRATIVE; ASK “WHERE” AND IT BECOMES A MAP.
Sources in, understanding out.
- 01
Connect. Databases, warehouses, document stores, and SaaS APIs feed one governed knowledge base — schema and semantics indexed together.
- 02
Ask. The chat classifies each question — metric, comparison, cause, location, narrative — and retrieves from the right sources.
- 03
See. The view engine picks the layout that fits the answer — not a fixed dashboard, but a canvas composed per question, with drill-down intact.
Because the next question never fits last quarter's dashboard.
Dashboards answer the questions someone already knew to ask. Everything after that becomes a ticket, an export, or an analyst detour. Knowledge Lens closes the gap: every source in one governed knowledge base, and a canvas composed per question instead of built in advance.
Permissions travel with the data rather than around it — the knowledge base inherits them from the source, so a lens can only ever show someone what they were already allowed to see.
One lens, three jobs.
Kill the dashboard sprawl
Instead of forty pre-built dashboards nobody trusts, one question composes the right view live — and the follow-up question reshapes it.
A single pane over every source
Tickets, product data, docs, and telemetry fused into one knowledge base — agents ask once instead of tab-hopping five systems.
"Why did this drop?"
Cause questions get a narrative view that stitches sources together — metrics, events, and documents — with drill-down intact at every step.
Your sources, one lens.
We'll connect two of your real sources and run the demo on your own questions.