Building RAG pipelines for real-time data with Cloudera and Milvus is crucial for unlocking the full potential of large-scale data processing, adaptability to various cloud environments, and making decisions in real-time while maintaining data governance and security. Cloudera is a comprehensive enterprise data platform that supports the entire data lifecycle, offering rapid deployment and the ability to build AI at scale with reduced cost and risk across any data center or cloud platform. Milvus is an open-source vector database designed for efficient storage, indexing, and searching of high-dimensional vector embeddings, optimized for similarity search making it ideal for recommendation systems, image retrieval applications, and RAG pipelines. By integrating Cloudera and Milvus, businesses can create robust frameworks for building RAG pipelines that handle the complexities of real-time data ingestion, processing, and retrieval while maintaining low latency and cost along with high accuracy. The integration provides a comprehensive solution for enterprises to derive value from vast amounts of information efficiently, leveraging data lifecycle management platforms like Cloudera and advanced Gen AI applications.