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# OpenRAG
</div>
<div align="center">
<a href="#quick-start" style="color: #0366d6;">Quick Start</a> &nbsp;&nbsp;|&nbsp;&nbsp;
<a href="#tui-interface" style="color: #0366d6;">TUI Interface</a> &nbsp;&nbsp;|&nbsp;&nbsp;
<a href="#docker-deployment" style="color: #0366d6;">Docker Deployment</a> &nbsp;&nbsp;|&nbsp;&nbsp;
<a href="#development" style="color: #0366d6;">Development</a> &nbsp;&nbsp;|&nbsp;&nbsp;
<a href="#troubleshooting" style="color: #0366d6;">Troubleshooting</a>
</div>
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. [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/phact/openrag)
<div align="center">
<a href="https://github.com/langflow-ai/openrag/releases"><img src="https://img.shields.io/github/v/release/langflow-ai/openrag?style=flat" alt="Release"></a>
&nbsp;&nbsp;
<a href="https://github.com/langflow-ai/langflow"><img src="https://img.shields.io/badge/Langflow-1C1C1E?style=flat&logo=langflow" alt="Langflow"></a>
&nbsp;&nbsp;
<a href="https://github.com/opensearch-project/OpenSearch"><img src="https://img.shields.io/badge/OpenSearch-005EB8?style=flat&logo=opensearch&logoColor=white" alt="OpenSearch"></a>
@ -23,9 +12,21 @@ OpenRAG is a comprehensive Retrieval-Augmented Generation platform that enables
<a href="https://github.com/encode/starlette"><img src="https://img.shields.io/badge/Starlette-009639?style=flat&logo=fastapi&logoColor=white" alt="Starlette"></a>
&nbsp;&nbsp;
<a href="https://github.com/vercel/next.js"><img src="https://img.shields.io/badge/Next.js-000000?style=flat&logo=next.js&logoColor=white" alt="Next.js"></a>
&nbsp;&nbsp;
<a href="https://deepwiki.com/phact/openrag"><img src="https://deepwiki.com/badge.svg" alt="Ask DeepWiki"></a>
</div>
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.
</div>
<div align="center">
<a href="#quick-start" style="color: #0366d6;">Quick Start</a> &nbsp;&nbsp;|&nbsp;&nbsp;
<a href="#tui-interface" style="color: #0366d6;">TUI Interface</a> &nbsp;&nbsp;|&nbsp;&nbsp;
<a href="#docker-deployment" style="color: #0366d6;">Docker Deployment</a> &nbsp;&nbsp;|&nbsp;&nbsp;
<a href="#development" style="color: #0366d6;">Development</a> &nbsp;&nbsp;|&nbsp;&nbsp;
<a href="#troubleshooting" style="color: #0366d6;">Troubleshooting</a>
</div>
## Quick Start
### Prerequisites