4 min read
3072-dim is the new hard mode for vector search
text-embedding-3-large produces 3,072-dim vectors, and most vector pipelines truncate them to stay performant. Here's what happened when we benchmarked the full dimension end-to-end.
Tag
#benchmarks
2 posts tagged benchmarks.
- 6 min read
100% recall, on disk, no GPU
The conventional wisdom on vector search is that you have to pick two of three — recall, speed, footprint. Here's what our engine does on the dbpedia-openai benchmark.