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Docs: Expand browse knowledge and nudges flow, remove global filters, add docling_serve_url, link to changelog |
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| assets | ||
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| flows | ||
| frontend | ||
| helm/openrag | ||
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| openrag-documents | ||
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| securityconfig | ||
| src | ||
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| .python-version | ||
| .secrets.baseline | ||
| CONTRIBUTING.md | ||
| docker-compose.gpu.yml | ||
| docker-compose.yml | ||
| Dockerfile | ||
| Dockerfile.backend | ||
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| Dockerfile.langflow | ||
| LICENSE | ||
| Makefile | ||
| MANIFEST.in | ||
| patch-netty.sh | ||
| pyproject.toml | ||
| README.md | ||
| SECURITY.md | ||
| uv.lock | ||
| warm_up_docling.py | ||
OpenRAG
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.
Install OpenRAG
To get started with OpenRAG, see the installation guides in the OpenRAG documentation:
Development
For developers who want to contribute to OpenRAG or set up a development environment, see CONTRIBUTING.md.
Troubleshooting
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.