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TechnologyRAGGenerative AI

A RAG assistant that answers from 1M+ documents

Grounded a generative assistant in the client's knowledge base with a governed retrieval pipeline and guardrails.

90%
Answer accuracy
−55%
Support tickets

The challenge

Support and sales teams couldn't find answers fast enough across a sprawling, fragmented knowledge base.

What we did

  • Built a retrieval-augmented generation pipeline over 1M+ documents
  • Deployed a vector database with access controls and guardrails
  • Integrated the assistant into existing support tooling

The results

  • 90% answer accuracy on evaluation sets
  • 55% reduction in support tickets
  • Grounded, citable answers employees trust

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