feat: vectorchord (#18042)

* wip

auto-detect available extensions

auto-recovery, fix reindexing check

use original image for ml

* set probes

* update image for sql checker

update images for gha

* cascade

* fix new instance

* accurate dummy vector

* simplify dummy

* preexisiting pg docs

* handle different db name

* maybe fix sql generation

* revert refreshfaces sql change

* redundant switch

* outdated message

* update docker compose files

* Update docs/docs/administration/postgres-standalone.md

Co-authored-by: Daniel Dietzler <36593685+danieldietzler@users.noreply.github.com>

* tighten range

* avoid always printing "vector reindexing complete"

* remove nesting

* use new images

* add vchord to unit tests

* debug e2e image

* mention 1.107.2 in startup error

* support new vchord versions

---------

Co-authored-by: Daniel Dietzler <36593685+danieldietzler@users.noreply.github.com>

server/src/migrations/1700713994428-AddCLIPEmbeddingIndex.ts

@@ -1,13 +1,12 @@
-import { ConfigRepository } from 'src/repositories/config.repository';
+import { getVectorExtension } from 'src/repositories/database.repository';
 import { vectorIndexQuery } from 'src/utils/database';
 import { MigrationInterface, QueryRunner } from 'typeorm';
 
-const vectorExtension = new ConfigRepository().getEnv().database.vectorExtension;
-
 export class AddCLIPEmbeddingIndex1700713994428 implements MigrationInterface {
   name = 'AddCLIPEmbeddingIndex1700713994428';
 
   public async up(queryRunner: QueryRunner): Promise<void> {
+    const vectorExtension = await getVectorExtension(queryRunner);
     await queryRunner.query(`SET search_path TO "$user", public, vectors`);
 
     await queryRunner.query(vectorIndexQuery({ vectorExtension, table: 'smart_search', indexName: 'clip_index' }));