Home/Case Studies/Fortune 500 Manufacturing Company
Manufacturing & Industrial16 weeks

Enterprise Knowledge Management System with RAG

Client: Fortune 500 Manufacturing Company

91%
Answer relevance
75x
Faster information retrieval
12K+
Daily queries served
40%
Faster onboarding

The Challenge

A Fortune 500 manufacturer with 50,000+ employees across 30 countries had critical knowledge scattered across SharePoint, Confluence, legacy intranets, and thousands of PDF manuals. Engineers spent an average of 2.5 hours per day searching for technical documentation. New employee onboarding took 6+ months before engineers became productive, and institutional knowledge was being lost as senior staff retired.

Our Solution

We designed an enterprise RAG system that ingests, indexes, and serves knowledge from 15+ data sources. The system uses hybrid search (semantic + keyword) with domain-specific embeddings fine-tuned on manufacturing terminology. Access controls mirror the existing LDAP/AD structure, ensuring data governance. A conversational interface lets engineers ask questions in natural language and receive cited answers with source links.

The Results

Engineers now find answers in under 2 minutes instead of 2.5 hours. New employee ramp-up time decreased from 6 months to 10 weeks. The system serves 12,000+ queries daily with 91% relevance scores. Knowledge retention improved dramatically as the system captures and surfaces institutional expertise.

Technologies Used

Custom embeddingsHybrid search (Weaviate)Azure OpenAILDAP/AD integrationReactPython
"This system transformed how our engineers access knowledge. What used to take hours of searching through manuals now takes seconds. It's become the most-used internal tool across all our facilities."
CTO, Fortune 500 Manufacturing Company