Skip to content
RCreddit.com·
Not on the current live radar

I made a way to migrate between embedding models without re-embedding your entire corpus [R]

AI summary

A developer has created a method to migrate between embedding models without the need to re-embed an entire corpus. This innovation addresses the significant backfilling cost associated with upgrading models, such as moving from model A to model B, which would typically require re-embedding all documents. For instance, re-embedding 1 billion vectors with a model like qwen embed 8b at 106 docs/second could take approximately 108 days on an H100. The developer is seeking community feedback on this new workflow.

Why this one

This method offers a way to migrate between embedding models without the typical re-embedding cost, unlike previous approaches that required extensive re-embedding of entire corpora.

Time & source

Times shown in UTC

Display time zone: UTC

Local time zone unavailable; showing UTC.

IngestedOffset at this time: UTC+0Sep 10, 2026, 02:00 UTC

Ingested
Sep 10, 2026, 02:00
Source type
Dev community
Article

Full text isn't available here.

Read at source →
Source·reddit.com