AI Architecture Analysis
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Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Repository Overview (README excerpt)
Crawler viewRailway Documentation This is the official documentation for Railway. You can view it at docs.railway.com. Local Development You'll need to have Node.js and pnpm installed. You can then install dependencies and start the development server by running the following commands: Open localhost:3001 to see the docs. Available Commands | Command | Description | |---------|-------------| | | Start development server on port 3001 | | | Create production build | | | Start production server | | | Remove build artifacts | Local Search Setup Search is powered by Meilisearch. To test search functionality locally, you'll need Docker. Prerequisites Copy the environment file to enable local search in the frontend: Search Commands | Command | Description | |---------|-------------| | | Start the Meilisearch container | | | Stop the Meilisearch container | | | Index local docs (requires dev server running) | | | Start Meilisearch and index docs in one command | Quick Setup • Start the dev server in one terminal: • In another terminal, run the full search setup: This starts Meilisearch on port 7700 and crawls your local dev server to index all documentation pages. The search bar will connect to Meilisearch using the environment variables from . Contributing Contributions from the community are welcome! Please read the Contributing Guide for details on how to submit changes.