Knowledge Fabric

AI interactions with your business context built-in

Introducing Knowledge Fabric

For industry leaders who need enterprise AI solutions to be fluent in their business.

Knowledge Fabric weaves context from your documents, workflows, and conversations into a connected layer your AI can reason over.

50% fewer AI errors caused by missing context

Faster time-to-value - business context from day one

Every new use case builds faster with enriched context

What is Knowledge Fabric?

Think of Knowledge Fabric as the context layer between your data sources and your AI systems - an AI-native representation of your business. It links structured data, conversations, and workflows into a living, semantically connected knowledge layer your AI can use in real time - a contextualized foundation that makes AI fluent in your business.

What is the alternative? You’re duct-taping fine-tuning efforts, stale knowledge bases, and basic RAG pipelines that lose context over time.

Every AI interaction is grounded in how your business actually works.

Context layer that learns and improves with time

Learns what matters
Captures context from documents, conversations, feedback loops, industry terms, and third-party systems - so AI speaks your business, not generic AI.

Context at every level
Organizes knowledge across users, agents, departments, and the entire enterprise — with governance built in at every layer.

Sharper overtime
Improves continuously with every interaction, ensuring AI becomes smarter, more accurate, and better aligned with your business.

How it works

Instead of giving AI isolated data, Knowledge Fabric weaves everything into a connected fabric of context - so every answer is grounded in how your business actually works.

Link

Link knowledge into relationships

This layer ties knowledge into relationships - linking policies to workflows, tickets to product docs, and conversations to knowledge bases. This preserves the semantic and operational context that traditional keyword or vector search loses.

Enrich

Metadata enrichment

With metadata enrichment, every element is tagged with lineage, authorship, version, and time. That means every AI response is traceable, explainable, and compliant with enterprise regulations like HIPAA, SOX, and GDPR.

Adapt

Dynamic updates and feedback loops

Using Dynamic updates & feedback loops, the fabric keeps itself current. A new document revision, a workflow change, or a closed support case is instantly reflected while feedback signals like user corrections, approvals, and query logs, refine context delivery in real time.

Expose

Contextualized windows

The Knowledge Fabric API delivers multi-hop context windows - contextualized and reasoned over - so AI can explain its interactions and stay fluent in your business.

The context flywheel for every new use case

You’ve felt it: every new AI use case, you’re retraining, re-indexing, rebuilding from scratch. It’s slow and makes scaling painful.With Unframe, you don’t start over. Every interaction enriches the fabric - so the next use case is faster to build, more accurate in production, and easier to scale. Your business context compounds. And with every deployment, you get momentum.

Leaders choose Knowledge Fabric for:

Business fluency at scale
AI agents understand your acronyms, internal processes, and compliance obligations - and adapt to unit-specific contexts.

Continuous accuracy
Unlike static knowledge bases, the fabric adapts dynamically as your enterprise evolves - no rebuilds, no stale indexes.

Integration without disruption
Works across federated sources and systems without forcing data consolidation - respecting your existing architecture.

Business-fluent AI solutions in days

With Knowledge Fabric, your AI is fluent, contextualized, and reasoned over your enterprise knowledge - adapting as you grow. Skip months of fine-tuning, static KBs, and RAG hacks - deploy a contextual AI solution in days, not months with Unframe.

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