Change CTA

This commit is contained in:
Nirant Kasliwal
2024-03-04 16:02:16 +05:30
parent a4a501b296
commit ce6098b5f5
@@ -211,6 +211,11 @@ We recommend the following best practices for leveraging Binary Quantization to
4. Rescoring: Enable rescoring to improve the accuracy of search results.
5. RAM: Store the full vectors and payload on disk. Limit what you load from memory to the binary quantization index. This helps reduce the memory footprint and improve the overall efficiency of the system. The incremental latency from the disk read is negligible compared to the latency savings from the binary scoring in Qdrant, which uses SIMD instructions where possible.
Want to discuss these findings and learn more about Binary Quantization? [Join our Discord community.](https://discord.gg/qdrant)
## What's next?
Learn more about how to boost your vector search speed and accuracy while reducing costs: [Binary Quantization](https://qdrant.tech/documentation/guides/quantization/?selector=aHRtbCA%2BIGJvZHkgPiBkaXY6bnRoLW9mLXR5cGUoMSkgPiBzZWN0aW9uID4gZGl2ID4gZGl2ID4gZGl2Om50aC1vZi10eXBlKDIpID4gYXJ0aWNsZSA%2BIGgyOm50aC1vZi10eXBlKDIp).
Binary quantization is exceptional if you need to work with large volumes of data under high recall expectations. You can try this feature either by spinning up a [Qdrant container image](https://hub.docker.com/r/qdrant/qdrant) locally or, having us create one for you through a [free account](https://cloud.qdrant.io/login) in our cloud hosted service.
Learn more about how to boost your vector search speed and accuracy while reducing costs: [Quantization](https://qdrant.tech/documentation/guides/quantization/?selector=aHRtbCA%2BIGJvZHkgPiBkaXY6bnRoLW9mLXR5cGUoMSkgPiBzZWN0aW9uID4gZGl2ID4gZGl2ID4gZGl2Om50aC1vZi10eXBlKDIpID4gYXJ0aWNsZSA%2BIGgyOm50aC1vZi10eXBlKDIp).
The article gives examples of data sets and configuration you can use to get going. Our documentation covers [adding the data](/documentation/tutorials/bulk-upload/) to your Qdrant instance as well as [creating your indices](/documentation/tutorials/optimize/).
Want to discuss these findings and learn more about Binary Quantization? [Join our Discord community.](https://discord.gg/qdrant)