All work
132024SCAD

Knowledge-Base Auto-Tagger & Linker

Challenge

Internal SharePoint had 40,000+ documents with inconsistent (or missing) metadata, making search useless.

Approach

Batch embedding + classification pipeline that assigns SDG topics, year, language, and confidentiality tier, plus suggests related documents.

Impact

  • Tagged 40K+ documents in under 36 hours
  • Lifted search click-through-to-relevant by 3.4×
  • Powers the RAG retrieval filters in the main document system
40K+
docs
3.4×
ctr
36 hrs
time

Tech stack

text-embedding-3GPT-4Azure AI Search.NET

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AI scoped to this project · Llama 3.3 70B