RAG & knowledge
Turn Your Business Knowledge into an Intelligent AI System
A useful knowledge assistant is a retrieval system with permissions — not a chat window pointed at a public model.
Architecture
Eight stages between a document and a trustworthy answer
01
Enterprise Data
Documents, records and systems your teams already trust.
02
Ingestion
Connectors pull content on a schedule or on change.
03
Chunking / Parsing
Structure is preserved so retrieved context stays meaningful.
04
Embeddings
Content becomes searchable by meaning, not just keywords.
05
Vector Database
Indexed with metadata and document-level permissions.
06
Retrieval
The right passages are selected for the person asking.
07
LLM
The model answers from retrieved context, with citations.
08
Secure Business Answer
Grounded, permissioned and traceable.
Supported data sources
Connect what the business already runs
Sources are indexed with their permissions, so answers follow who the user is allowed to be.
What it becomes
Two surfaces on the same trusted index
A conversational assistant for questions, and a document pipeline for structured extraction — both grounded in the same permissioned knowledge.
Structured output
- Supplierextracted
- Invoice no.extracted
- Due dateextracted
- Totalvalidated
- PO matchexception
Exceptions routed to a person. Every field carries an audit trail.
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