Article: Optimizing Embeddings with Quantization

[kanungle]

PREVIEW

Created fresh article based on closed PR #2464

[netlify]

✅ Deploy Preview for condescending-goldwasser-91acf0 ready!

Name	Link
🔨 Latest commit	4697356
🔍 Latest deploy log	https://app.netlify.com/projects/condescending-goldwasser-91acf0/deploys/6a54b056c941ef0008fc31db
😎 Deploy Preview	https://deploy-preview-2490--condescending-goldwasser-91acf0.netlify.app
📱 Preview on mobile	Toggle QR Code... Use your smartphone camera to open QR code link.

---

To edit notification comments on pull requests, go to your Netlify project configuration.

[kanungle]

@ESzyszka the previous PR (#2464) was structured very poorly:

• Images in the wrong directory
• Images referenced wrong
• Frontmatter containing stale content from another article
• Merge conflicts
• Not a new article but overwrote a previous one

I need you to read and understand the landing_page repo instructions

I will start reviewing your content from this PR now.

[ESzyszka]

CHANGES MADE:

1. Images in the qdrant-landing/static/articles_data/optimizing-embeddings-bq/ directory
2. Images referenced using format:
   ![Effect of oversampling factor on recall@10](/articles_data/optimizing-embeddings-bq/5-oversampling-effect.png)
3. Front matter updated

[manas95826]

I have a few comments on this PR:

• Why does it call Optimize Text Embedding Efficiency with Quantization and mentions about BQ only? Maybe we can mention more methods like we did in TQ article in the start instead of last, just like here
• I think we can explain more about rescoring before this section:

To analyze the impact of rescoring (True or False), we compared results across different model configurations and search limits. Rescoring sets up a more precise search, based on results from an initial query. The efficiency gains from Binary Quantization are as follows:

• Some parts are missing title case like this:

Leveraging Binary Quantization: best practices

• This article seems to be very lengthy to me for some reason

[kanungle]

mentions about BQ only?

Yes, these were my thoughts too. I just haven't had a chance to fully review the last round of this. This needs to be expanded for general guidance with quantization

[kanungle]

I haven't even had a chance to fully read the article yet since I was focused on just getting the PR in the right shape. Will try to review by end of day tomorrow.

[manas95826]

We can maybe take inspiration from this doc on quantization