The MLOps Community fills the swiftly growing need to share real-world Machine Learning Operations best practices from engineers in the field.

MLOps Community is a collaborative platform for professionals working at the intersection of machine learning and operations, offering resources, events, and discussions on MLOps best practices and methodologies. By bringing together data scientists, engineers, and DevOps practitioners, MLOps Community enbles knowledge sharing and innovation in deploying, managing, and scaling machine learning models in production environments.

MLOps Community

DREAM is a blueprint for distributed RAG experimentation using Ray, LlamaIndex, Ragas, MLFlow, and MinIO on Kubernetes. It helps in comparing and contrasting different combinations of RAG parameters to find the best one. The architecture includes technologies like Ray, LlamaIndex, ragas, MinIO, MLflow, Jupyter notebooks, Kubernetes, and ArgoCD.

DREAM: Distributed RAG Experimentation Framework