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# How Rovo Deep Research works

**[Atlassian](https://daily.dev/sources/atlassian)** · 7 min read · 0 upvotes · 0 comments

## Summary

Atlassian's Rovo Deep Research feature uses an enhanced Retrieval-Augmented Generation (RAG) architecture to generate comprehensive research reports from complex queries. The system breaks down tasks into manageable sub-tasks, performs parallel information retrieval, and creates structured reports with inline citations. It leverages multiple AI models including Llama 3.2, GPT-4o, and Claude 3.7 for different functions, and incorporates reasoning models for better planning and reflection. The feature integrates with Atlassian's Teamwork Graph to provide contextually relevant results while respecting user permissions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.atlassian.com/blog/atlassian-engineering/how-rovo-deep-research-works>

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