Milvus

Open-source vector database with FLAT, IVF, HNSW and DiskANN indexes, deployable standalone or as a cluster.

Provider: default
Kind: Vector database
Category: Data
Official docs: https://milvus.io/api-reference/pymilvus/v2.5.x/MilvusClient/Collections/create_collection.md

Properties · 5 set by this component

property	type	values	required	kind default	this component
consistencyLevel · component property	enum	strong \| session \| bounded \| eventually	no	bounded	inherited
deploymentMode · component property	enum	standalone \| cluster	no	standalone	inherited
dimensions	integer	—	no	—	inherited
distanceMetric	enum	cosine \| euclidean \| dot-product	no	—	▸ cosine
dynamicField · component property	boolean	—	no	true	inherited
hybridSearch	boolean	—	no	false	▸ true
indexType	enum	flat \| hnsw \| ivf \| disk-ann \| lsh	no	—	inherited
managed	boolean	—	no	false	▸ false
metadataFiltering	boolean	—	no	false	▸ true
namespaces	boolean	—	no	false	inherited
quantization	enum	none \| scalar \| product \| binary	no	none	▸ none
replicas	integer	—	no	—	inherited
shards · component property	integer	—	no	1	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: "milvus", component: "milvus" }

Other Vector database products · 23

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Source

1# yaml-language-server: $schema=../../schema/component.schema.json
2# Milvus: open-source vector database, self-hosted as standalone or distributed cluster.
3# "create_collection": metric_type defaults to COSINE, one shard, dynamic field enabled and
4# Bounded consistency. "Index vector fields": FLAT, IVF, HNSW and DISKANN indexes, plus a sparse
5# inverted index that makes dense-and-sparse hybrid search possible.
6schemaVersion: "1"
7type: "component"
8id: "milvus"
9kind: "vector-database"
10provider: "default"
11docs: "https://milvus.io/api-reference/pymilvus/v2.5.x/MilvusClient/Collections/create_collection.md"
12defaults:
13  distanceMetric: "cosine"
14  quantization: "none"
15  metadataFiltering: true
16  hybridSearch: true
17  managed: false
18properties:
19  deploymentMode:
20    type: "enum"
21    values: ["standalone", "cluster"]
22    default: "standalone"
23  consistencyLevel:
24    type: "enum"
25    values: ["strong", "session", "bounded", "eventually"]
26    default: "bounded"
27  shards:
28    type: "integer"
29    default: 1
30  dynamicField:
31    type: "boolean"
32    default: true

The same page as markdown, for an agent: /catalogue/components/milvus.md