Elasticsearch filters for large catalogs

Fast filtering is mostly about indexing strategy. Product attributes should be normalized, and nested documents should be used only where business logic really needs them.

For high-load stores, query templates and aggressive cache policies dramatically reduce response time. This gives stable performance during seasonal traffic spikes.

Good relevance tuning is iterative: combine domain signals, click analytics, and synonym dictionaries, then continuously measure conversion impact.