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Add 'Mitigate Read-Write Contention' section to the bulk upload guide (#2469)

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* Change bulk upload from tutorial into guide

* Add 'Mitigate Read-Write Contention' section to bulk upload guide

* Update meta descriptions
This commit is contained in:
Abdon Pijpelink
2026-07-06 10:02:00 +02:00
committed by GitHub
parent 83f4bfc23c
commit 757767919b
10 changed files with 22 additions and 14 deletions
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qdrant-landing/content/articles/binary-quantization-openai.md
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@@ -216,6 +216,6 @@ We recommend the following best practices for leveraging Binary Quantization to
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.
The article gives examples of data sets and configuration you can use to get going. Our documentation covers [adding large datasets to Qdrant](/documentation/tutorials-develop/bulk-upload/) to your Qdrant instance as well as [more quantization methods](/documentation/manage-data/quantization/).
The article gives examples of data sets and configuration you can use to get going. Our documentation covers [adding large datasets to Qdrant](/documentation/manage-data/bulk-upload/) to your Qdrant instance as well as [more quantization methods](/documentation/manage-data/quantization/).
Want to discuss these findings and learn more about Binary Quantization? [Join our Discord community.](https://discord.gg/qdrant)
qdrant-landing/content/articles/binary-quantization.md
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@@ -231,6 +231,6 @@ If you determine that binary quantization is appropriate for your datasets and q
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/signup) in our cloud hosted service.
The article gives examples of datasets and configuration you can use to get going. Our documentation covers [adding large datasets to Qdrant](/documentation/tutorials-develop/bulk-upload/) to your Qdrant instance as well as [more quantization methods](/documentation/manage-data/quantization/).
The article gives examples of datasets and configuration you can use to get going. Our documentation covers [adding large datasets to Qdrant](/documentation/manage-data/bulk-upload/) to your Qdrant instance as well as [more quantization methods](/documentation/manage-data/quantization/).
If you have any feedback, drop us a note on Twitter or LinkedIn to tell us about your results. [Join our lively Discord Server](https://discord.gg/Qy6HCJK9Dc) if you want to discuss BQ with like-minded people!