michaelfeil / michaelfeil/infinity

Docs on disabling vector disk cache on high throughput scenario

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Dominant language
Python
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Description

## Request

I am suggesting/requesting a section documenting that disabling vector disk cache might bring significant performance boost, if the throughput is particularly high (if I am correct).

## Context

Please forgive me not following templates as this doesn't seem to fit into any.

I was trying to achieve a high-throughput embedding service on a powerful gpu instance (30k+ embeddings/sec), but the gpu usage never exceeds even 5% when I'm using a proper batch size (1536 in my case), and it hits 429 very quickly. For some reason the interval between each batch can take up to ~10 seconds.

After many attempts and troubleshooting I realized the vector disk cache might be the bottleneck here. In this case there was no benefits of keeping a cache of embeddings, and it would still be too intensive even if it's in a separate thread. After setting no-vector-disk-cache I was able to achieve 100% gpu usage.

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the documentation for vector disk caching and the no-vector-disk-cache option. Confirm how the option affects high-throughput embedding workloads, then add a section describing when disabling the cache may help and what tradeoff it has; done means the guidance is clear and supported by the reported scenario.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
documentation, performance
Issue type
Documentation
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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