Skip to main content

2 posts tagged with "rag"

View All Tags

Export Confluence to Markdown (LLMs, RAG & Git)

· 4 min read
NGPilot

Markdown is the lingua franca of everything Confluence isn't: LLM context windows, RAG pipelines, Git-based docs, static site generators. So the request shows up wherever those worlds meet — "can you get our Confluence into Markdown?" — and the honest answer starts with a gap: Confluence Cloud has no native Markdown export. Built-in export gives you PDF, Word, HTML and XML; Markdown isn't on the list. Here's how to get there anyway, and how to make the output something a pipeline can actually consume.

RAG with Confluence: Build an AI Knowledge Base

· 6 min read
NGPilot
Quick Answer

RAG (Retrieval-Augmented Generation) lets you query your Confluence knowledge base using natural language. It retrieves relevant pages and uses AI to generate accurate answers from your documentation.

What you'll learn
  1. How to prepare Confluence content for RAG indexing
  2. How to choose the right RAG platform for your needs
  3. How to index and configure your Confluence knowledge base
  4. How to test, optimize, and deploy your RAG system

Your team has hundreds of Confluence pages, but finding the right information still takes too long. Search returns too many results, keywords miss synonyms, and context gets lost across pages.

RAG (Retrieval-Augmented Generation) changes this by combining search with AI generation. Instead of returning pages, it returns answers — synthesized from your Confluence content. This guide covers how to build a RAG system with Confluence.