Updates on Image search using vectors

.env.example

@@ -338,6 +338,13 @@ ENABLE_SERVER_OCR=true
 #OCR_NUM_THREADS=2
 #IMAGE_IDENTIFY_MIN_IMAGE_SCORE=0.70
 #IMAGE_IDENTIFY_MIN_TEXT_SCORE=0.60
+# An image match is only "confirmed" (match_confidence) when it also leads the
+# best different photo by this much.
+#IMAGE_SEARCH_MIN_MARGIN=0.05
+# Diagnosis only: save every image-search request as JSON for
+# `python -m scripts.replay_image_query`. Blank = off; keeps the newest N.
+#IMAGE_SEARCH_CAPTURE_DIR=/app/data/image_search_requests
+#IMAGE_SEARCH_CAPTURE_MAX=200
 
 # Capture-to-catalog: when identify cannot confirm a photo, read the label and -
 # for a brand already in the catalog - add the product through the 11-stage