Ingesting Chaos: The MLOps Behind Handling Unstructured Data Reliably at Scale for RAG

This post details the MLOps behind handling unstructured data for RAG, including data ingestion pipelines, chunking strategies, metadata orchestration, embedding model selection, and automated evaluation systems for tuning retrieval parameters. It emphasizes the use of tools like VectorFlow and Milvus for production RAG systems.