The original title is: "Why One RAG Wasn't Enough: Building a Multi-RAG Pipeline for Jira Backlog Analysis"

Short summary

A single RAG knowledge base produces generic, outdated recommendations when analyzing Jira backlogs. The author solved this by splitting project knowledge into three separate RAG sources—release notes (what shipped), program context (how the system works), and roadmap docs (where the project is heading)—each in its own vector index. This multi-RAG approach gave the LLM distinct types of organizational memory, dramatically improving output relevance for project managers.

• •One RAG source produces generic, stale recommendations because software projects have fundamentally different knowledge types
• •Splitting into three RAG sources—release notes, program context, and roadmap—maps to past, present, and future organizational memory
• •Each source gets its own vector index and LangChain retrieval chain scoped to the active task

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