RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
File addition .rooignore (#15414)
This PR introduces a `.rooignore` file to the root of the repository to optimize how AI coding assistants (like Roo) interact with the RAGFlow codebase. Currently, when AI agents index the workspace, they can waste tokens and processing time reading through generated files, caches, large dependency artifacts, and runtime logs. This `.rooignore` file provides a standard configuration to exclude these irrelevant directories and files (such as `.venv/`, `node_modules/`, `__pycache__/`, logs, and large binaries). This significantly reduces indexing noise, prevents accidental reads of sensitive or bulky local data, and ensures AI coding agents remain focused strictly on relevant source code. ### Type of change - [x] Other (please describe): Developer Experience (DX) / AI Tooling configuration
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Attili-sys committed
a28a0c6986d779a99488117739de27d710797480
Parent: 539d38b
Committed by GitHub <noreply@github.com>
on 5/29/2026, 12:37:44 PM