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author | Lain Soykaf <lain@lain.com> | 2024-05-19 13:24:24 +0400 |
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committer | Lain Soykaf <lain@lain.com> | 2024-05-19 13:24:24 +0400 |
commit | 6ec306d0684f3c5c05d768a3c431008925f21f15 (patch) | |
tree | e57e9d653fb088108c6ae54f06aa5b76c4b0bfbf /docs/configuration/search.md | |
parent | 6a3a0cc0f5995185428c92f3c53e9c8524ea6856 (diff) | |
download | pleroma-6ec306d0684f3c5c05d768a3c431008925f21f15.tar.gz pleroma-6ec306d0684f3c5c05d768a3c431008925f21f15.zip |
Docs: Add more information about index memory consumption.
Diffstat (limited to 'docs/configuration/search.md')
-rw-r--r-- | docs/configuration/search.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/configuration/search.md b/docs/configuration/search.md index 6598e533f..ed85acd2a 100644 --- a/docs/configuration/search.md +++ b/docs/configuration/search.md @@ -26,7 +26,7 @@ You will also need to create the Qdrant index once by running `mix pleroma.searc To see the available configuration options, check out the QdrantSearch section in `config/config.exs`. -The default indexing option work for the default model (`snowflake-arctic-embed-xs`). To optimize for a low memory footprint, adjust the index configuration as described in the [Qdrant docs](https://qdrant.tech/documentation/guides/optimize/). +The default indexing option work for the default model (`snowflake-arctic-embed-xs`). To optimize for a low memory footprint, adjust the index configuration as described in the [Qdrant docs](https://qdrant.tech/documentation/guides/optimize/). See also [this blog post](https://qdrant.tech/articles/memory-consumption/) that goes into detail. Different embedding models will need different vector size settings. You can see a list of the models supported by the fastembed server [here](https://qdrant.github.io/fastembed/examples/Supported_Models), including their vector dimensions. These vector dimensions need to be set in the `qdrant_index_configuration`. |