Increase Your Vector Database Read Throughput with In-Memory Replicas

This post introduces the concept and implementation of in-memory replicas in Milvus 2.1. It explains how loading a collection with `replica_number` greater than 1 allows data segments to be replicated across multiple query nodes. This enhances read throughput by enabling parallel search requests and improves system availability by providing immediate failover to another query node if one crashes. The post details the configuration process via `collection.load(replica_number=N)` and how to check replica information using `collection.get_replicas()`, noting memory limitations.