Can you elaborate on said features?
I migrated from typesense to Meilisearch on a project after I found it had much better search accuracy. I can't exactly explain why, but overall Meilisearch results feel more relevant by default.
I migrated from typesense to Meilisearch on a project after I found it had much better search accuracy. I can't exactly explain why, but overall Meilisearch results feel more relevant by default.
[1] https://github.com/beir-cellar/beir [2] https://docs.google.com/spreadsheets/d/1_ZyYkPJ_K0st9FJBrjbZ...
I’d love to take a closer look.
I migrated in April 2021 (latest version of typesense & meilisearch at that time).
I don't have a public dataset has it was a fairly large ecommerce catalog with close to ~500k entries. And again, it was just my own perception which is hard to define. I just found that Typesense was a bit off compared to Meilisearch on search accuracy, and of course could totally be different today with a more recent release.
We're now at v0.24.rc, and we've iterated quite a lot on improving relevancy since then, as more users shared their datasets with us and gave us feedback over the last 1.5 years.
If you get a chance to try out Typesense again in the future, I'd love to hear how relevance feels with the latest version, out of the box for your dataset.