Pinecone

Managed serverless vector database with namespaces, metadata filtering and hybrid dense-sparse search.

Provider
default
Category
Data
Properties · 4 set by this component
propertytypevaluesrequiredkind defaultthis component
deletionProtection · component propertyboolean—nofalseinherited
deploymentMode · component propertyenumserverless | pod-basednoserverlessinherited
dimensionsinteger—no—inherited
distanceMetricenumcosine | euclidean | dot-productno—inherited
hybridSearchboolean—nofalse▸ true
indexTypeenumflat | hnsw | ivf | disk-ann | lshno—inherited
managedboolean—nofalse▸ true
maxDimensions · component propertyinteger—no20000inherited
metadataFilteringboolean—nofalse▸ true
namespacesboolean—nofalse▸ true
quantizationenumnone | scalar | product | binarynononeinherited
replicasinteger—no—inherited
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: "pinecone", component: "pinecone" }
Other Vector database products · 23
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# Pinecone: fully managed serverless vector database. "Indexing overview": records are partitioned
# into namespaces created automatically on upsert, metadata filtering is built in and dense, sparse
# and BM25 search can be combined in one index. "Create an index": serverless indexes, dimensions 1-20000.
schemaVersion: "1"
type: "component"
id: "pinecone"
kind: "vector-database"
provider: "default"
docs: "https://docs.pinecone.io/guides/index-data/indexing-overview"
defaults:
  metadataFiltering: true
  hybridSearch: true
  namespaces: true
  managed: true
properties:
  deploymentMode:
    type: "enum"
    values: ["serverless", "pod-based"]
    default: "serverless"
  maxDimensions:
    type: "integer"
    default: 20000
  deletionProtection:
    type: "boolean"
    default: false

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