Knowledge Buddy, Benchmark's production-ready Retrieval Augmented Generation assistant, giving employees cited answers grounded strictly in approved company content.
A leading Europe-based manufacturing company operates plants and service teams across a dozen countries.
The company wanted its employees to ask questions in plain language and receive trustworthy answers grounded strictly in approved company content, with every response traceable to its original source.
The company maintains thousands of controlled documents, from HR policies to machine maintenance procedures.
Different teams need different knowledge sets, and answers must be traceable to an approved source for audit and quality reasons.
Staff wasted hours searching long documents, new employees took months to find their way around, and internal support desks spent most of their time on questions that had already been answered many times before.
Every operational bottleneck reported was matched to the workstream(s) that resolved it.
Critical information sat in scattered documents and drives that few people knew how to navigate.
Separate bases for policies, SOPs, and project documents, so each team works with the right content.
Document upload for PDF, TXT, and MD files plus one click Google Drive folder sync.
Finding one answer meant reading through long documents page by page.
Documents are chunked with overlap and stored as vector embeddings in pgvector for accurate semantic search.
Generic AI tools hallucinate and cannot cite sources, which ruled them out for controlled content.
Every answer includes source citations and similarity scores, with low relevance results filtered out.
There was no way to guarantee answers came only from official documents.
Every answer includes source citations and similarity scores, with low relevance results filtered out.
Support teams answered the same questions over and over instead of doing higher value work.
AI document summaries, automatic tagging, and smart follow up questions.
Staff asked questions in plain language and received cited answers from approved content only.
Strict grounding in company documents removed the risk of invented answers.
Repeated questions were deflected to self service, freeing support and quality teams.
New employees found procedures and policies themselves from day one.
Every answer traced back to a named source document.
New employee time to find standard procedures likely dropped from days to minutes.
Knowledge coverage likely expanded steadily, as new documents became searchable within minutes of upload.
