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c28755ccd2
Extract performance into separate sectin into shoving it under search Create page for web interface
19 lines
795 B
Markdown
19 lines
795 B
Markdown
## Performance
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### Search performance
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- Semantic search using the bi-encoder is fairly fast at \<100 ms across all content types
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- Reranking using the cross-encoder is slower at \<2s on 15 results. Tweak `top_k` to tradeoff speed for accuracy of results
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- Filters in query (e.g by file, word or date) usually add \<20ms to query latency
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### Indexing performance
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- Indexing is more strongly impacted by the size of the source data
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- Indexing 100K+ line corpus of notes takes about 10 minutes
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- Indexing 4000+ images takes about 15 minutes and more than 8Gb of RAM
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- Note: *It should only take this long on the first run* as the index is incrementally updated
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### Miscellaneous
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- Testing done on a Mac M1 and a \>100K line corpus of notes
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- Search, indexing on a GPU has not been tested yet
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