The Business Challenge
Senior engineers spent up to 8 hours each week hunting through scattered file servers and PDF archives to locate historical project specifications and material calculations.
Project Objectives
- Index 250,000 multi-format technical documents into a semantic search knowledge graph
- Deliver instant technical answers with exact source citation and page references
- Ensure zero data leakage with 100% on-premises / private VPC deployment
- Cut proposal drafting turnaround time while improving citation accuracy
Solution Architecture
Private vector embedding pipeline running within dedicated cloud VPC. Ingests PDFs, CAD metadata, and DOCX files into a high-dimensional vector index, paired with verified citation guardrails and role-based permissions.
Implementation Process
- Built automated OCR and text normalization pipeline handling scanned schematics
- Established strict deterministic citation checker verifying page and paragraph matches
- Designed minimal, high-speed search interface with split-screen document preview
- Conducted blind verification trials against engineering peer review benchmarks