Algolia's pricing model can get complicated as you scale. Algolia charges by the number of search operations and records. If you are not careful about how you structure your indexes, costs can creep up faster than expected. It is not a deal-breaker, but it requires some planning upfront. The other area is relevance tuning. While Neural Search handles a lot automatically, getting the ranking configuration exactly right for niche or domain-specific queries still takes considerable trial and error. I would love to see more guided recommendations from the platform itself on how to optimize ranking for specific industries. The documentation is generally quite good, but there are some advanced configuration scenarios, such as complex multi-index query federation or custom ranking formula edge cases, where the documentation feels thin and you end up relying on community forums or opening a support ticket. I would also love better in-dashboard debugging tools. When a specific query returns an unexpected result, tracing exactly why that happened, which ranking rule fired, and what score each result got can be difficult without deep-diving into the API logs. A visual "Explain this result" feature in the dashboard would save a lot of troubleshooting time.
