Our index was aimed at handling 20 000 documents at total of 35MB of CSV, this would balloon into 0.7GB to 1GB of RAM and we expected at least 1000 of these indexes, which would require dedicated servers with 1TB of RAM. This was when Meili was at version 0.27.

With manticore, we've tried to run into these issues in benchmarks, but the only problem we got was temporary high IO load when indexes need to be re-indexed with new or changed documents. In total it's at 50-70% of the RAM usage compared to Meili.

We'd be happy to re-visit, but looking at the docs - it seems to be about the same as it was back then (a year ago).