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Publications

Publications

Five full-length Knovium articles with translations, sources, tables, and charts for evaluating enterprise RAG before a pilot.

Enterprise archive documents connected to an AI answer with sources
Knovium article

From archive search to source-grounded answers

How enterprise RAG turns archives into verifiable answers with citations, pages, and document chains.

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A graph of links between documents, equipment, and decisions layered over an enterprise archive
Knovium article

Why corporate archives need GraphRAG

Three documents, three facts, but not one story. GraphRAG links them into a chain so you see not just the text but the asset it is about.

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A scanned document and a table losing structure during text extraction for RAG
Knovium article

PDF, OCR, and tables: where enterprise RAG breaks

A pilot on ten clean PDFs says nothing about the rest of the archive. Usually most of it is scans and complex tables.

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A matrix of RAG quality metrics: relevance, faithfulness, citation, latency
Knovium article

How to measure RAG quality before a pilot

"The pilot went well" is a sentence with no numbers in it. What is needed is a metric matrix, not a general impression from a few good answers.

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Security control levels for an AI layer: RBAC, audit trail, governance
Knovium article

A secure AI layer over corporate documents

An accurate quote from a contract you have no access to is still a data leak — it just travels through a chat window instead of a file share.

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