feat: use pgvecto.rs (#3605)

docker/docker-compose.yml

@@ -25,7 +25,6 @@ services:
     depends_on:
       - redis
       - database
-      - typesense
     restart: always
 
   immich-microservices:
@@ -43,7 +42,6 @@ services:
     depends_on:
       - redis
       - database
-      - typesense
     restart: always
 
   immich-machine-learning:
@@ -55,18 +53,6 @@ services:
       - .env
     restart: always
 
-  typesense:
-    container_name: immich_typesense
-    image: typesense/typesense:0.24.1@sha256:9bcff2b829f12074426ca044b56160ca9d777a0c488303469143dd9f8259d4dd
-    environment:
-      - TYPESENSE_API_KEY=${TYPESENSE_API_KEY}
-      - TYPESENSE_DATA_DIR=/data
-      # remove this to get debug messages
-      - GLOG_minloglevel=1
-    volumes:
-      - tsdata:/data
-    restart: always
-
   redis:
     container_name: immich_redis
     image: redis:6.2-alpine@sha256:60e49e22fa5706cd8df7d5e0bc50ee9bab7c608039fa653c4d961014237cca46
@@ -74,7 +60,7 @@ services:
 
   database:
     container_name: immich_postgres
-    image: postgres:14-alpine@sha256:6a0e35296341e676fe6bd8d236c72afffe2dfe3d7eb9c2405c0f3fc04500cd07
+    image: tensorchord/pgvecto-rs:pg14-v0.1.11
     env_file:
       - .env
     environment:
@@ -88,4 +74,3 @@ services:
 volumes:
   pgdata:
   model-cache:
-  tsdata: