docs: Add course content for Day 4 #1931
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holyMolyTolli
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| - Memory management for large datasets | ||
| - Monitoring and troubleshooting ingestion | ||
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| *Content to be added* No newline at end of file |
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@thierrypdamiba @holyMolyTolli welp, what are we doing here?
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Side note about upload_collection/upload_points - they exist only for the Python client, afaik
So for the Python client, they're good for large-scale upserts cause they support lazy batching, retries & parallelism, but for other clients, upsert is the only (and good for scalable uploads) option, and it allows batching, not only individual points
So I'd add here a warning that this video is focused on the python client
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Wait, I am also lost why we're zeroing ef_construct instead of m for the initial bulk upload?
It won't work, minimum ef_construct allowed is 4 @thierrypdamiba
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| ## Analysis Framework | ||
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| ### Performance Comparison |
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Latencies
Bcs performance kinda builds in quality for me, and here it's not measured
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| You'll know you've succeeded when: | ||
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| <input type="checkbox"> You've achieved measurable speed improvements (5x+ for scalar, 20x+ for binary) |
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Where did we take 5X from?
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Can we point discord link to this instead? https://discord.com/channels/907569970500743200/1429673887590776832 |
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