Stop Bloating Vector Indexes: Slicing Embeddings with Spring AI and Pgvector
This story is from 2026-09-27. It is preserved in the archive; the latest stories are on the live feed.
Stop Bloating Vector Indexes: Slicing Embeddings with Spring AI and Pgvector Your Postgres instance is quietly running out of RAM because you are indexing default 1536-dimensional vectors for chunks that require a fraction of that depth. Matryoshka Representation Learning (MRL) lets you safely prun…
Read the full story at DEV Community — AI ↗
Timeline · 1 report
- 2026-09-27 08:38 · DEV Community — AI
Stop Bloating Vector Indexes: Slicing Embeddings with Spring AI and Pgvector