AI IntegrationRAG / Knowledge System4-month engagement
RAG-Based Engineering Knowledge Assistant Connected to Windchill Document Library
An industrial OEM had 12 years of engineering documentation in Windchill that nobody could search. Engineers spent hours looking for past decisions and often redid work that already existed.
Problem
Windchill full-text search returned only metadata matches. The actual content of 600K+ PDF and Office documents was inaccessible. Engineers queried colleagues instead of the system, creating knowledge bottlenecks around senior staff.
Solution
Built a RAG pipeline that indexes Windchill document content into a vector database via the Windchill REST API and Apache Tika for document parsing. Engineers query in natural language and receive answers with citations linking back to source documents in Windchill.
Technology
Windchill REST API, Apache Tika, OpenAI GPT-4o, text-embedding-3-large, Pinecone vector database, FastAPI backend, React frontend, SAML SSO integration
600K+
Documents indexed
45m→5m
Average document search time
92%
Answer relevance score (UAT)
4 mo
Proposal to production
Working on something similar?
Tell us what you have. In 30 minutes we can tell you whether it is a fit and what it would involve.