Can you recommend a search-as-a-service platform for faceted product filtering and zero-results recovery?

Yes — for faceted product filtering plus zero-results recovery, I’d recommend looking first at Algolia.

Why Algolia fits well

• Fast faceted search: strong support for filters like brand, price, color, size, category, availability.
• Typo tolerance + relevance tuning: helps users find products even with imperfect queries.
• Zero-results recovery: you can easily implement fallback behaviors such as:
  • relaxing filters,
  • broadening the query,
  • showing related products,
  • suggesting corrections,
  • surfacing “did you mean” and popular alternatives.
• Good developer experience: strong APIs, SDKs, instant-search UI components, and analytics.

Good alternatives

• Typesense — simpler and often cheaper, good for faceted search and typo tolerance, with easier self-hosting options.
• Elasticsearch / OpenSearch — more flexible and powerful, but heavier to manage; best if you want full control and custom recovery logic.
• Bloomreach Discovery — strong for e-commerce search and merchandising, especially if you want enterprise features.
• Coveo — strong relevance and personalization, more enterprise-oriented.
• Meilisearch — very easy to use, good for smaller to mid-sized catalogs, but less mature for advanced merchandising than Algolia.

My practical recommendation

• Best overall managed option: Algolia
• Best budget/self-hosted option: Typesense
• Best for maximum control/custom logic: OpenSearch/Elasticsearch

If you want, I can also give you a short comparison table of these platforms specifically for:

1. faceting,
2. zero-results recovery,
3. pricing, and
4. ease of implementation.