Approximate nearest neighbor (ANN) search is a technique used to quickly identify the closest matches to a given data point within a large dataset, sacrificing some accuracy for significant performance gains. As startups build applications that rely on large-scale data processing, such as recommendation systems and image recognition, ANN search becomes a crucial tool for achieving scalable and efficient data retrieval, making it a key consideration for tech companies looking to launch innovative products.