Building Production Ready Search Pipelines with Spark and Milvus

Building a scalable vector search pipeline in production is challenging due to handling massive amounts of unstructured data and high query volumes. To address this, a combination of Milvus, an open-source vector database, and Apache Spark, a distributed computing framework, can be used. Milvus enables efficient vector search operations on large datasets, while Spark accelerates data processing tasks by distributing them across multiple computers in batches. By integrating these tools, developers can create production-ready applications that leverage AI models for improved information retrieval and search processes.