zhiqiang-hhhh opened a new pull request, #3457:
URL: https://github.com/apache/doris-website/pull/3457
## Summary
This PR adds a new ANN resource estimation guide to the Vector Search docs
and wires it into both current and 4.x doc sidebars.
## User Impact
Users now have a practical sizing reference for Apache Doris ANN workloads
before cluster rollout, including:
- memory estimation formulas for HNSW and IVF,
- quantization tradeoffs (`flat` / `sq8` / `sq4` / `pq`),
- CPU sizing baseline and production headroom recommendations,
- scenario-based index/quantizer selection guidance.
The same guidance is available in both English and Chinese, and for both
current docs and versioned 4.x docs.
## Root Cause
The existing vector search docs covered algorithm and performance topics,
but lacked a dedicated capacity planning document based on real ANN resource
characteristics. This made pre-deployment sizing less structured for users.
## What Changed
- Added new English doc:
- `docs/ai/vector-search/resource-estimation.md`
- Added new Chinese doc (current):
-
`i18n/zh-CN/docusaurus-plugin-content-docs/current/ai/vector-search/resource-estimation.md`
- Added new English doc (4.x):
- `versioned_docs/version-4.x/ai/vector-search/resource-estimation.md`
- Added new Chinese doc (4.x):
-
`i18n/zh-CN/docusaurus-plugin-content-docs/version-4.x/ai/vector-search/resource-estimation.md`
- Updated current sidebar:
- `sidebars.ts`
- Added `ai/vector-search/resource-estimation`
- Added missing `ai/vector-search/performance-large-scale` in Vector
Search section
- Updated 4.x sidebar:
- `versioned_sidebars/version-4.x-sidebars.json`
- Added `ai/vector-search/resource-estimation`
- Added missing `ai/vector-search/performance-large-scale` in Vector
Search section
## Validation
- Verified file paths and sidebar entries are present.
- Attempted local docs build, but full build is currently blocked by
unrelated local dependency/module-resolution issues in this environment
(missing Docusaurus-related modules), not by this doc change.
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