|
|
||
|---|---|---|
| .github | ||
| assets | ||
| docs | ||
| flows | ||
| frontend | ||
| helm/openrag | ||
| keys | ||
| openrag-documents | ||
| scripts | ||
| sdks | ||
| securityconfig | ||
| src | ||
| tests | ||
| .dockerignore | ||
| .env.example | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| .python-version | ||
| .secrets.baseline | ||
| CONTRIBUTING.md | ||
| docker-compose.gpu.yml | ||
| docker-compose.yml | ||
| Dockerfile | ||
| Dockerfile.backend | ||
| Dockerfile.frontend | ||
| 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.