In a large-scale e-commerce platform, how would you design indexes to optimize search queries on product attributes like name, category, and price?

Creating separate indexes for name, category, and price allows the database to efficiently retrieve data based on these attributes. Composite indexes combine multiple columns into a single index, which can be beneficial for queries that involve multiple attributes. Full-text search indexes are suitable for searching through large text fields like product descriptions. Implementing indexing based on query frequency involves prioritizing indexes for attributes that are frequently used in search queries, thus optimizing search performance.