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Why One RAG Wasn't Enough: Building a Multi-RAG Pipeline for Jira Backlog Analysis

TL;DR AI

Key summary

2 min read
  1. A Jira backlog analyzer improved after switching from one generic RAG source to a multi-RAG design.

  2. The pipeline separates release notes, program context, and FY26 themes to give the LLM fresher, more relevant evidence.

  3. This improved backlog clustering, duplicate detection, and executive summaries.

  4. The piece argues that splitting knowledge by history, operations, and strategy makes LLM outputs more accurate and roadmap-aligned.

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