Automatic Scalar and Binary Quantization now supported

[Henry_Weller]

Happy Monday

We’re excited to announce that three new Atlas Vector search features all related to quantization enter public preview today:

1. Automatic scalar quantization
2. Automatic binary quantization with rescoring
3. Ingestion of BSON binData vectors with subtype int1

These capabilities are all available to newly created clusters, and on a rolling basis will be made available to all existing clusters over the next two weeks. More details on how to leverage them to support massive vector indexes in the 100M or 1B+ range in the revamped quantization docs page here and the announcement blog here.

Please let us know what you think of this feature here, thanks!

[Jack_Woehr]

The link to the quantumization page is 404

[Henry_Weller]

Hi @Jack_Woehr! The docs page should be working now

[Henry_Weller]

Hello!

These three features are now all Generally Available, with the added benefit of being able to view the approximate “Required Memory” of each vector index within the “list search indexes view” of the Atlas UI. This should make sizing when using quantized indexes simpler.

Thank you!