Typesense is built for fast application search, including typo-tolerant results. Before replacing it, assemble anonymized queries from the interface people actually use.
Index the same sample documents in each candidate. Test partial names, misspellings, exact IDs, filters, sorting, and empty results. Label the expected top result for each query; compare ranking alongside p95 latency. Then update and delete documents, restart the service, and check when changes become visible. Record memory usage with the index size you expect in production.
Typesense's ranking guide explains how text match and sorting interact. A migration succeeds when your important queries still return the right items with acceptable operations and cost, not merely when the index loads.
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