pgvectorscale

Vector databasepgvectorscale

Postgres extension adding a StreamingDiskANN index and binary quantization on top of pgvector.

Provider
default
Category
Data
Properties · 4 set by this component
propertytypevaluesrequiredkind defaultthis component
dimensionsinteger—no—inherited
distanceMetricenumcosine | euclidean | dot-productno—inherited
hybridSearchboolean—nofalseinherited
indexTypeenumflat | hnsw | ivf | disk-ann | lshno—▸ disk-ann
labelFiltering · component propertyboolean—nofalseinherited
managedboolean—nofalse▸ false
metadataFilteringboolean—nofalse▸ true
namespacesboolean—nofalseinherited
quantizationenumnone | scalar | product | binarynonone▸ binary
replicasinteger—no—inherited
storageLayout · component propertyenummemory-optimized | plainnomemory-optimizedinherited
Rules that apply · 0

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No rule reads this kind yet. That is a gap, not a guarantee.
Use it in a design
nodes:
  - { id: "pgvectorscale", component: "pgvectorscale" }
Other Vector database products · 23
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# pgvectorscale: Postgres extension from Timescale (now Tiger Data) that adds a StreamingDiskANN index on top of pgvector.
# Per the pgvectorscale README, the index compresses vectors with Statistical Binary Quantization, supports cosine, L2 and
# inner product distance, and filters by labels inside the index.
schemaVersion: "1"
type: "component"
id: "pgvectorscale"
kind: "vector-database"
provider: "default"
docs: "https://github.com/timescale/pgvectorscale"
defaults:
  indexType: "disk-ann"
  quantization: "binary"
  metadataFiltering: true
  managed: false
properties:
  storageLayout:
    type: "enum"
    values: ["memory-optimized", "plain"]
    default: "memory-optimized"
  labelFiltering:
    type: "boolean"
    default: false

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