From 37bece341932c366089416553fda354fb9954ad3 Mon Sep 17 00:00:00 2001
From: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
Date: Tue, 15 Oct 2024 17:06:36 -0500
Subject: [PATCH] clean up search settings view
---
web/src/views/settings/SearchSettingsView.tsx | 121 +++++++++---------
1 file changed, 64 insertions(+), 57 deletions(-)
diff --git a/web/src/views/settings/SearchSettingsView.tsx b/web/src/views/settings/SearchSettingsView.tsx
index 904eb980c..ccf3a5629 100644
--- a/web/src/views/settings/SearchSettingsView.tsx
+++ b/web/src/views/settings/SearchSettingsView.tsx
@@ -125,7 +125,7 @@ export default function SearchSettingsView({
if (changedValue) {
addMessage(
"search_settings",
- `Unsaved search settings changes)`,
+ `Unsaved search settings changes`,
undefined,
"search_settings",
);
@@ -151,31 +151,37 @@ export default function SearchSettingsView({
- Semantic Search in Frigate allows you to find tracked objects within - your review items using either the image itself, a user-defined text - description, or an automatically generated one. This feature works - by creating embeddings — numerical vector representations — for both - the images and text descriptions of your tracked objects. By - comparing these embeddings, Frigate assesses their similarities to - deliver relevant search results. -
++ Semantic Search in Frigate allows you to find tracked objects + within your review items using either the image itself, a + user-defined text description, or an automatically generated one. + This feature works by creating embeddings — numerical vector + representations — for both the images and text descriptions of + your tracked objects. By comparing these embeddings, Frigate + assesses their similarities to deliver relevant search results. +
-- Configure the size of the model used for semantic search - embeddings: -
-- • Configuring the small model employs a quantized - version of the model that uses much less RAM and runs faster - on CPU with a very negligible difference in embedding quality. -
-- • Configuring the large model employs the full Jina - model and will automatically run on the GPU if applicable. + The size of the model used for semantic search embeddings.
+