# OpenRAG
Langflow    OpenSearch    Langflow   
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](https://github.com/Kludex/starlette) and [Next.js](https://github.com/vercel/next.js). Powered by [OpenSearch](https://github.com/opensearch-project/OpenSearch), [Langflow](https://github.com/langflow-ai/langflow), and [Docling](https://github.com/docling-project/docling). Ask DeepWiki
Quickstart   |   Python package   |   Docker or Podman   |   Development   |   Troubleshooting
## Quickstart To run OpenRAG without creating or modifying any project files, use `uvx`: ```bash uvx openrag ``` This command runs OpenRAG without installing it to your project or globally. To run a specific version of OpenRAG, run `uvx --from openrag==VERSION openrag`. ## Install Python package To add the OpenRAG Python package to a Python project, use `uv`: 1. Create a new project with a virtual environment using `uv init`: ```bash uv init YOUR_PROJECT_NAME cd YOUR_PROJECT_NAME ``` The `(venv)` prompt doesn't change, but `uv` commands will automatically use the project's virtual environment. For more information on virtual environments, see the [uv documentation](https://docs.astral.sh/uv/pip/environments). 2. Add OpenRAG to your project: ```bash uv add openrag ``` To add a specific version of OpenRAG, run `uv add openrag==VERSION`. 3. Start the OpenRAG terminal user interface (TUI): ```bash uv run openrag ``` 4. Continue with the [Quickstart](https://docs.openr.ag/quickstart). For all installation options, see the [OpenRAG installation guide](https://docs.openr.ag/install). ## Docker or Podman installation By default, OpenRAG automatically starts the required containers and helps you manage them. To install OpenRAG with self-managed containers, see the [OpenRAG installation guide](https://docs.openr.ag/docker). ## Development For developers wanting to contribute to OpenRAG or set up a development environment, see [CONTRIBUTING.md](CONTRIBUTING.md). ## Troubleshooting For common issues and fixes, see [Troubleshoot OpenRAG](https://docs.openr.ag/support/troubleshoot).