commit: 6ec306d0684f3c5c05d768a3c431008925f21f15
parent 6a3a0cc0f5995185428c92f3c53e9c8524ea6856
Author: Lain Soykaf <lain@lain.com>
Date: Sun, 19 May 2024 13:24:24 +0400
Docs: Add more information about index memory consumption.
Diffstat:
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git 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`.
