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@roadiehq/backstage-plugin-home-markdown

A React component that renders a markdown file from GitHub as a Homepage component. You'll need to log in to GitHub to be able to fetch the markdown. You can configure the plugin to point to a remote markdown file in GitHub and it will fetch that markdown

@roadiehq/backstage-plugin-iframe

## Features

@roadiehq/scaffolder-backend-argocd

Welcome to the `argocd` actions for the `scaffolder-backend`.

@roadiehq/backstage-plugin-aws-backend

To use the backend, you will need to configure the following in the app-config.yaml file:

@roadiehq/catalog-backend-module-aws

A set of Backstage catalog providers for AWS

@roadiehq/backstage-plugin-shortcut


@roadiehq/backstage-plugin-home-rss

A react component that renders a RSS feed as a homepage component. You can configure the plugin to point to a remote RSS feed and it will fetch that RSS feed and render it inside a card componenet.

@roadiehq/catalog-backend-module-okta

A set of Backstage catalog providers for Okta

@roadiehq/plugin-scaffolder-frontend-module-http-request-field

This custom scaffolder field, fetches an api call from the backstage backend and allows the result to be rendered to a list.

@roadiehq/backstage-plugin-cloudsmith

This plugin allows you to display statistics about a Cloudsmith repository to the homepage of Backstage.

@roadiehq/roadie-agent

Roadie Agent library to build secure custom functionality targeting Roadie instances.

@roadiehq/rag-ai-backend

This plugin is the backend for RAG AI Backstage plugin. You can see the corresponding frontend plugin in [here](/plugins/frontend/rag-ai/README.md).

@roadiehq/rag-ai-backend-embeddings-aws

The AWS (Bedrock) backend module for the @roadiehq/rag-ai plugin.

@roadiehq/rag-ai-backend-embeddings-openai

The OpenAI backend module for the @roadiehq/rag-ai plugin.

@roadiehq/rag-ai-backend-retrieval-augmenter

This is a base module providing default functionality related to RAG AI indexing embeddings and retrieval of augmentation context. It enables a pluggable AI model initialization in a submodule and provides default, extendable functionality to create, mana

@roadiehq/rag-ai-node

This package contains types and interfaces to support RAG AI backend modules.

@roadiehq/rag-ai-storage-pgvector

A module enabling usage of PostgreSQL as a storage solution for RAG AI Backstage backend plugin.

@roadiehq/rag-ai

This plugin is the frontend for RAG AI Backstage plugin. You can see the corresponding backend plugin in [here](/plugins/backend/rag-ai-backend/README.md).