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Case Study

Metus: Building an Intelligent Workplace Document Search

Metus delivers search results with higher relevance across the board for different document types relative to Elasticsearch and a Python ML search toolkit.

With Vectara LLM-powered search, Metus delivered:
  • 50% reduction in deployment and maintenance overhead vs. Elasticsearch
  • Using Vectara’s neural reranker, Metus increased search relevance when compared with Elasticsearch and a Python ML search toolkit
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