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Custom Vector Search & Retrieval Layer for Internal Documentation
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.
Engineers and support personnel struggled to locate relevant operating procedures and historical troubleshooting guides stored across disparate wiki pages, shared drives, and PDF repositories.
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.
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