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 and Next.js. Powered by OpenSearch, Langflow, and Docling.
To get started with OpenRAG, see the installation guides in the OpenRAG documentation:
For developers who want to contribute to OpenRAG or set up a development environment, see CONTRIBUTING.md.
For assistance with OpenRAG, see Troubleshoot OpenRAG and visit the Discussions page.
To report a bug or submit a feature request, visit the Issues page.