Capability 01
Enterprise Knowledge Intelligence Platform
Knowledge Factory
Transform scattered enterprise content into governed, searchable, AI-ready knowledge.
Knowledge Factory ingests, cleans, structures, enriches, indexes, and governs enterprise content for search and AI applications. It provides the shared knowledge layer behind retrieval-augmented generation, employee assistance, customer support, and domain-specific agents.
Knowledge pipeline Live
Enterprise sources
Knowledge Factory control loop
01Parse + enrich
02Permission index
03Hybrid retrieval
04Source citations
Output · Grounded context
Trace 01
Ingest
Trace 02
Prepare
Trace 03
Index and retrieve
Trace 04
Evaluate and govern
Outcome model
Examples · not guaranteesWhat this platform is designed to change.
Faster
Knowledge discovery
Intended valueTraceable
AI-assisted answers
Intended valueReusable
Enterprise knowledge layer
Intended valueKnowledge Factory outcomes describe intended platform value; retrieval quality depends on content, permissions, and evaluation.
Capabilities
The system behind the experience.
The core building blocks Knowledge Factory brings together for a production workflow.
Capability 02
Parsing, normalization, and metadata enrichment
Capability 03
RAG pipeline construction
Capability 04
Hybrid enterprise search and retrieval
Capability 05
Knowledge extraction and entity linking
Capability 06
Permissions-aware indexing
Capability 07
Citation and source traceability
Capability 08
AI-ready knowledge-base management
Capability 09
Freshness, coverage, and retrieval analytics
Use cases
Bounded roles. Real operational work.
Use Knowledge Factory where the journey is frequent, measurable, and connected to a clear owner.
01
Enterprise search across fragmented repositories
02
Knowledge grounding for customer and employee agents
03
Policy, procedure, and technical-document assistance
04
Document intelligence and structured knowledge extraction
05
Research workspaces with citations
06
Reusable retrieval services for multiple AI products
Operating model
From context to controlled action.
A clear deployment loop keeps business rules, people, evidence, and improvement connected from the beginning.
- 01
Ingest
Connect approved repositories and capture documents, metadata, permissions, and change signals.
- 02
Prepare
Parse, clean, segment, classify, and enrich content according to domain and retrieval needs.
- 03
Index and retrieve
Create searchable indexes and retrieval strategies that respect identity and source permissions.
- 04
Evaluate and govern
Measure retrieval quality, citations, freshness, coverage, and access behavior over time.
Enterprise fit
Connect the systems the work already depends on.
Integration design is validated during discovery against available APIs, identity rules, permissions, write boundaries, and failure-handling requirements.
Orchestration layer
Knowledge Factory
Document management systems
Cloud drives and object storage
Databases, data warehouses, and APIs
Intranets, wikis, and support knowledge bases
Identity and access management
LLM, embedding, search, and vector services
API · events · approved data exchange · access controls
Related products
Extend the operating layer.
Pair Knowledge Factory with adjacent Brioworkx platforms when the workflow spans channels, knowledge, operations, or quality assurance.
Knowledge Factory FAQ
Questions before a working session.
Direct answers on product fit, controls, integrations, and deployment considerations.
Is Knowledge Factory a RAG platform?
RAG is a core use case, but Knowledge Factory covers the wider content lifecycle: ingestion, preparation, permissions, indexing, retrieval, citations, freshness, and evaluation.
Can search results respect existing document permissions?
Yes, when the source systems expose the necessary identity and permission information. Access-aware retrieval should be validated as part of deployment testing.
Can answers show where information came from?
Knowledge Factory is designed to preserve source references and metadata so downstream search and AI experiences can present citations for review.
Start a conversation
Put Knowledge Factory against a real workflow.
Bring the journey, systems, constraints, and baseline. We’ll map a bounded deployment and the evidence needed to decide what comes next.