Atlassian's Rovo semantic search has evolved from MiniLM to BGE-large to EmbeddingGemma-300m to handle real-world enterprise queries across Jira and Confluence. The system uses hybrid retrieval combining neural embeddings with structured signals like recency, project context, and engagement history. A collaboration with NVIDIA
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Why traditional search breaks down at workSemantic search in Rovo: finding answers, not just matching wordsInside “real‑world” semantic searchWhere we’re headed nextSort: