Enterprise Knowledge & Internal Search

Stop searching. Just ask.

Arango turns your wikis, SharePoint, drives, and doc repositories into one domain-aware knowledge base your people query in plain language — and every answer comes back cited to its source.

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Value Drivers

What an Arango knowledge agent delivers

01

Find answers in seconds

Employees ask in plain language and get a direct, cited answer — no hunting across tools or pinging colleagues.

Reclaim ~9 hrs/week
per worker

02

Answers from meaning, not keywords

GraphRAG connects concepts across documents, so people get the right answer — not a list of links to skim.

Domain-aware accuracy

03

Cited & governed

Every answer traces to its source, and RBAC ensures people see only what they’re permitted to.

Trusted · compliant

04

Connect everything, automatically

AutoGraph Studio unifies wikis, SharePoint, drives, and repos into one knowledge base — no manual modeling or taxonomy work.

No manual modeling

~9 hours/week reflects McKinsey research on time knowledge workers spend searching and gathering information; results vary by organization.

The Opportunity

Why it matters

Knowledge workers spend roughly 9 hours a week — about a fifth of their time — searching for and gathering information (McKinsey). An Arango knowledge agent gives that time back: it answers from all your enterprise knowledge, in plain language, cited to source — built on the platform behind NVIDIA’s and PSI’s knowledge engine.

~9 hrs/wk

spent searching for info (McKinsey)

Cited

every answer traceable to source

Strong Performer

Forrester Wave^™ MMDP, Q2 2026

~200

enterprises build on Arango

The takeaway: from “here are some links” to “here’s the answer — and here’s exactly where it came from.”

How it Works

From question to cited answer

The Matrix

From knowledge challenge to measurable value

Knowledge-access challenge	Arango Contextual Data Platform	Value · KPI / OKR
Knowledge siloed across wikis, SharePoint, drives & repos	AutoGraph Studio unifies every source into one domain-aware knowledge base	One place for answers · faster access
Keyword search returns links, not answers	AutoGraph Studio returns direct, cited answers with Instant Search and Deep Search	Less time searching · ~9 hrs/week back
Employees can’t tell what’s current or authoritative	Traceable lineage; every answer carries document references	Trusted, verifiable answers
People see knowledge they shouldn’t — or can’t find what they can	RBAC & governance enforced across all data models	Secure, compliant access
New hires take months to ramp	Ask in natural language via Ada & AQLizer	Faster onboarding & productivity
Every team rebuilds its own search / RAG	One reusable contextual data layer	Compounding value, not rebuilds

~9 hours/week: McKinsey research on time spent searching/gathering information. Capabilities per docs.arango.ai.

The Shift

Before and after Arango

Before

Knowledge Scattered

Knowledge siloed across wikis, SharePoint, drives & repos
Keyword search returns links, not answers
Employees ping colleagues — or give up
No way to tell what’s current or authoritative
New hires take months to find their way

After

Arango Knowledge Agent

One domain-aware knowledge base across every source
Ask in plain language, get a direct answer
Every answer cited to its source
Governed — people see only what they’re allowed
New hires productive in days

Outcome

Preserve Trust

Faster onboarding

Trusted answers

Knowledge reused, not rebuilt

Answers from all your knowledge — cited.

Point Arango at your wikis, SharePoint, and drives — and let your people ask. Every answer comes back grounded and traceable to source.