Vertex AI Vector Search

gcp Vector databasegoogle-vertex-ai-vector-search

Managed nearest-neighbour index built on the ScaNN algorithm with filtering and hybrid search.

Provider: gcp
Kind: Vector database
Category: Data
Official docs: https://cloud.google.com/vertex-ai/docs/vector-search/overview

Properties · 4 set by this component

property	type	values	required	kind default	this component
algorithm · component property	enum	tree-ah \| brute-force	no	tree-ah	inherited
dimensions	integer	—	no	—	inherited
distanceMetric	enum	cosine \| euclidean \| dot-product	no	—	inherited
hybridSearch	boolean	—	no	false	▸ true
indexType	enum	flat \| hnsw \| ivf \| disk-ann \| lsh	no	—	inherited
indexUpdateMethod · component property	enum	batch-update \| stream-update	no	—	inherited
managed	boolean	—	no	false	▸ true
metadataFiltering	boolean	—	no	false	▸ true
namespaces	boolean	—	no	false	▸ true
privateServiceConnect · component property	boolean	—	no	false	inherited
quantization	enum	none \| scalar \| product \| binary	no	none	inherited
replicas	integer	—	no	—	inherited
shardSize · component property	enum	small \| medium \| large	no	—	inherited

Rules that apply · 0

Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.

No rule reads this kind yet. That is a gap, not a guarantee.

Use it in a design

nodes:
  - { id: "vertex-ai-vector-search", component: "google-vertex-ai-vector-search" }

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Source

1# yaml-language-server: $schema=../../schema/component.schema.json
2# Vertex AI Vector Search: managed nearest-neighbour service built on the ScaNN tree-AH algorithm,
3# with brute force available for recall measurement ("Vector Search overview"). Restricts give
4# namespaced boolean and numeric filtering, and hybrid dense-plus-sparse search is supported.
5schemaVersion: "1"
6type: "component"
7id: "google-vertex-ai-vector-search"
8kind: "vector-database"
9provider: "gcp"
10docs: "https://cloud.google.com/vertex-ai/docs/vector-search/overview"
11defaults:
12  managed: true
13  metadataFiltering: true
14  hybridSearch: true
15  namespaces: true
16properties:
17  algorithm:
18    type: "enum"
19    values: ["tree-ah", "brute-force"]
20    default: "tree-ah"
21  shardSize:
22    type: "enum"
23    values: ["small", "medium", "large"]
24  indexUpdateMethod:
25    type: "enum"
26    values: ["batch-update", "stream-update"]
27  privateServiceConnect:
28    type: "boolean"
29    default: false

The same page as markdown, for an agent: /catalogue/components/google-vertex-ai-vector-search.md