Enterprise Knowledge & Semantic RAG System
Custom Vector Search & Retrieval Layer for Internal Documentation
Executive Overview
A custom vector search and retrieval-augmented generation (RAG) system embedded directly into an internal corporate portal, enabling instant natural language search across thousands of technical SOPs.
Operational Problem & Inefficiency
Engineers and support personnel struggled to locate relevant operating procedures and historical troubleshooting guides stored across disparate wiki pages, shared drives, and PDF repositories.
Engineered AI Architecture & Execution
Built a secure vector embedding pipeline with hybrid keyword-semantic search and citation-backed answer generation embedded directly into the company's existing intranet portal.
Key Deliverables
Business Value Delivered
Technology Stack
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