rag-template
Run rag-template locally: template for ai chatbots & document management using re.
Internal Q&A and knowledge base for Backstage.
backstage-plugin-qeta is an open-source rag & knowledge project by drodil (drodil/backstage-plugin-qeta on GitHub). It has 116 GitHub stars and 51 forks, is released under the MIT license, and was last updated on GitHub on 2 October 2026.
Pull the latest changes to stay current with fixes.
The README documents setup; start with the install section.
Decide what you want backstage-plugin-qeta to do first β internal Q&A and knowledge base for Backstage. Empower teams to share .
Change the config to match your workflow, then run it daily.
Working ai assistant support built in.
Working backstage support built in.
Working developer experience support built in.
Working documentation support built in.
Typed code that is easier to maintain.
Use it freely, even commercially.
Download the source and move into the project folder.
git clone https://github.com/drodil/backstage-plugin-qeta.git
cd backstage-plugin-qetaInstall the Node dependencies.
npm installStart the app or dev server.
npm startYes. It is MIT licensed, so you can use it freely, including commercially, with attribution.
No. It is a self-run project β clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under MIT. Read the LICENSE file in the repo for the exact terms.
Yes β it lives on GitHub at drodil/backstage-plugin-qeta. Open an issue or pull request; the contribution guide in the repo explains the process.
Run rag-template locally: template for ai chatbots & document management using re.
A self-maintaining AI second brain for Obsidian and Claude Code.
Self-hosted rag & knowledge: open-source native macos ai reading workspace for pdf.
AI agent operating system for Blender 5.2 β bpy knowledge base, execution contract, 3D-print production gate.
A knowledge-base platform with visual AI workflows β build Q&A systems on your own documents
Local knowledge-base Q&A over PDFs, Office files, images and web pages - offline and CPU-friendly.
The most-starred other RAG & Knowledge projects in the LibreAI catalogue β the realistic shortlist if backstage-plugin-qeta is not the right fit.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, orβ¦
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior contextβ¦
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Ready-to-run templates for RAG, AI pipelines and enterprise search that stay in sync with live data
Free and open β grab the source, star the repo, and start creating.