Succeeding at Scale: Automated Dataset Construction and Query-Side Adaptation for Multi-Tenant Search

Researchers introduce DevRev-Search, an automated system for building multi-tenant search systems that addresses the challenge of underutilized query data in enterprise environments. The system uses LLM-based relevance labeling and query-only fine-tuning to improve search performance while avoiding costly full corpus re-indexing.