Semantic Search Triggers (#18969)

* semantic trigger test

* database and model

* config

* embeddings maintainer and trigger post-processor

* api to create, edit, delete triggers

* frontend and i18n keys

* use thumbnail and description for trigger types

* image picker tweaks

* initial sync

* thumbnail file management

* clean up logs and use saved thumbnail on frontend

* publish mqtt messages

* webpush changes to enable trigger notifications

* add enabled switch

* add triggers from explore

* renaming and deletion fixes

* fix typing

* UI updates and add last triggering event time and link

* log exception instead of return in endpoint

* highlight entry in UI when triggered

* save and delete thumbnails directly

* remove alert action for now and add descriptions

* tweaks

* clean up

* fix types

* docs

* docs tweaks

* docs

* reuse enum
This commit is contained in:
Josh Hawkins
2025-08-16 10:20:33 -05:00
committed by Blake Blackshear
parent 28f816b49a
commit 3609b41217
37 changed files with 2736 additions and 62 deletions
+16
View File
@@ -428,3 +428,19 @@ def sanitize_float(value):
if isinstance(value, (int, float)) and not math.isfinite(value):
return 0.0
return value
def cosine_similarity(a: np.ndarray, b: np.ndarray) -> float:
return 1 - cosine_distance(a, b)
def cosine_distance(a: np.ndarray, b: np.ndarray) -> float:
"""Returns cosine distance to match sqlite-vec's calculation."""
dot = np.dot(a, b)
a_mag = np.dot(a, a) # ||a||^2
b_mag = np.dot(b, b) # ||b||^2
if a_mag == 0 or b_mag == 0:
return 1.0
return 1.0 - (dot / (np.sqrt(a_mag) * np.sqrt(b_mag)))