Public Beta
Knowledge Graph · Vector Search · AI Context

The memory layer of your business.

The Business Graph is a live knowledge index of every entity in your company — automatically built, automatically ranked, and automatically fed to AI agents at the right moment.

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Your business data is siloed. Your AI is blind.

Most AI tools get generic answers because they lack business context. The Business Graph changes that.

Without Business Graph
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With Business Graph
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Dual-layer architecture.

Structured + vector. Fast lookups and deep semantic search on the same data.

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Structured layer

MongoDB stores every entity with its type, relationships, legal identifiers, and metadata. Instant exact lookups by ID, type, or relationship.

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Vector layer

Every entity gets a text representation and is embedded with Azure OpenAI. Semantic search finds the right entities even when the exact name is unknown.

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Multi-signal ranking.

Not all entities are equal. The graph ranks them by relevance at query time with 5 independent signals.

Context Trace47 candidates
#1ACME SAcompany
94%
Mentions84pt
#2Invoice #2024-089invoice
87%
Recency77pt
#3Marc Dupontcontact
71%
Semantic61pt
#4Q4 Report.pdfdocument
58%
Frequency48pt
3 entities injected into context

Everything is an entity.

The graph knows 10+ entity types, each with its own text builder and relationship model.

Company
name
legalIdentifiers
countryCode
status
Contact
fullName
email
role
status
Invoice
title
amount
dueDate
status
Order
reference
supplier
total
status
Document
title
type
extractedText
category
Task
title
assignee
dueDate
status
Comment
content
author
entityRef
createdAt
Audit log
action
actor
target
timestamp

Context is the new accuracy.

The Business Graph is what makes Numezis AI agents actually useful — not just fast.