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feat: vectorchord (#18042)

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* 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* outdated message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>
This commit is contained in:
Mert 2025-05-20 09:36:43 -04:00 • committed by GitHub
parent fe71894308
commit 0d773af6c3
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35 changed files with 572 additions and 444 deletions
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6
server/src/migrations/1700713871511-UsePgVectors.ts
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@ -1,15 +1,13 @@
import { ConfigRepository } from 'src/repositories/config.repository';
import { getVectorExtension } from 'src/repositories/database.repository';
import { getCLIPModelInfo } from 'src/utils/misc';
import { MigrationInterface, QueryRunner } from 'typeorm';
const vectorExtension = new ConfigRepository().getEnv().database.vectorExtension;
export class UsePgVectors1700713871511 implements MigrationInterface {
name = 'UsePgVectors1700713871511';
public async up(queryRunner: QueryRunner): Promise<void> {
await queryRunner.query(`SET search_path TO "$user", public, vectors`);
await queryRunner.query(`CREATE EXTENSION IF NOT EXISTS ${vectorExtension}`);
await queryRunner.query(`CREATE EXTENSION IF NOT EXISTS ${await getVectorExtension(queryRunner)}`);
const faceDimQuery = await queryRunner.query(`
SELECT CARDINALITY(embedding::real[]) as dimsize
FROM asset_faces

5
server/src/migrations/1700713994428-AddCLIPEmbeddingIndex.ts
View file

@ -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' }));

5
server/src/migrations/1700714033632-AddFaceEmbeddingIndex.ts
View file

@ -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 AddFaceEmbeddingIndex1700714033632 implements MigrationInterface {
name = 'AddFaceEmbeddingIndex1700714033632';
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: 'asset_faces', indexName: 'face_index' }));

7
server/src/migrations/1718486162779-AddFaceSearchRelation.ts
View file

@ -1,12 +1,11 @@
import { DatabaseExtension } from 'src/enum';
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 AddFaceSearchRelation1718486162779 implements MigrationInterface {
public async up(queryRunner: QueryRunner): Promise<void> {
const vectorExtension = await getVectorExtension(queryRunner);
if (vectorExtension === DatabaseExtension.VECTORS) {
await queryRunner.query(`SET search_path TO "$user", public, vectors`);
}
@ -48,11 +47,11 @@ export class AddFaceSearchRelation1718486162779 implements MigrationInterface {
await queryRunner.query(`ALTER TABLE face_search ALTER COLUMN embedding SET DATA TYPE vector(512)`);
await queryRunner.query(vectorIndexQuery({ vectorExtension, table: 'smart_search', indexName: 'clip_index' }));
await queryRunner.query(vectorIndexQuery({ vectorExtension, table: 'face_search', indexName: 'face_index' }));
}
public async down(queryRunner: QueryRunner): Promise<void> {
const vectorExtension = await getVectorExtension(queryRunner);
if (vectorExtension === DatabaseExtension.VECTORS) {
await queryRunner.query(`SET search_path TO "$user", public, vectors`);
}