# OpenRAG
Langflow    OpenSearch    Starlette    Next.js    Ask DeepWiki
OpenRAG is a comprehensive Retrieval-Augmented Generation platform that enables intelligent document search and AI-powered conversations. Users can upload, process, and query documents through a chat interface backed by large language models and semantic search capabilities. The system utilizes Langflow for document ingestion, retrieval workflows, and intelligent nudges, providing a seamless RAG experience. Built with Starlette, Next.js, OpenSearch, and Langflow integration.
Quickstart   |   TUI Interface   |   Docker Deployment   |   Development   |   Troubleshooting
## Quickstart Use the OpenRAG Terminal User Interface (TUI) to manage your OpenRAG installation without complex command-line operations. To launch OpenRAG with the TUI, do the following: 1. Clone the OpenRAG repository. ```bash git clone https://github.com/langflow-ai/openrag.git cd openrag ``` 2. To start the TUI, from the repository root, run: ```bash # Install dependencies first uv sync # Launch the TUI uv run openrag ``` The TUI opens and guides you through OpenRAG setup. For the full TUI guide, see [TUI](docs/docs/get-started/tui.mdx). ## Docker Deployment If you prefer to use Docker to run OpenRAG, the repository includes two Docker Compose `.yml` files. They deploy the same applications and containers, but to different environments. - [`docker-compose.yml`](https://github.com/langflow-ai/openrag/blob/main/docker-compose.yml) is an OpenRAG deployment for environments with GPU support. GPU support requires an NVIDIA GPU with CUDA support and compatible NVIDIA drivers installed on the OpenRAG host machine. - [`docker-compose-cpu.yml`](https://github.com/langflow-ai/openrag/blob/main/docker-compose-cpu.yml) is a CPU-only version of OpenRAG for systems without GPU support. Use this Docker compose file for environments where GPU drivers aren't available. 1. Clone the OpenRAG repository. ```bash git clone https://github.com/langflow-ai/openrag.git cd openrag ``` 2. Build and start all services. For the GPU-accelerated deployment, run: ```bash docker compose build docker compose up -d ``` For environments without GPU support, run: ```bash docker compose -f docker-compose-cpu.yml up -d ``` For more information, see [Deploy with Docker](docs/docs/get-started/docker.mdx). ## Troubleshooting For common issues and fixes, see [Troubleshoot](docs/docs/support/troubleshoot.mdx). ## Development For developers wanting to contribute to OpenRAG or set up a development environment, see [CONTRIBUTING.md](CONTRIBUTING.md).