Query
Certified
Query a Pinecone index by vector similarity
Query
Certified
Query a Pinecone index by vector similarity
yaml
type: io.kestra.plugin.pinecone.QueryExamples
yaml
id: pinecone_query
namespace: company.team
tasks:
- id: query
type: io.kestra.plugin.pinecone.Query
apiKey: "{{ secret('PINECONE_API_KEY') }}"
indexName: my-embeddings
namespace: my-namespace
topK: 5
vector: [0.1, 0.2, 0.3]
includeMetadata: true
fetchType: FETCH
yaml
id: pinecone_query_store
namespace: company.team
tasks:
- id: query
type: io.kestra.plugin.pinecone.Query
apiKey: "{{ secret('PINECONE_API_KEY') }}"
indexName: my-embeddings
topK: 100
vector: [0.1, 0.2, 0.3]
fetchType: STORE
Properties
apiKey *Requiredstring
indexName *Requiredstring
topK *Requiredintegerstring
fetchType string
Default
FETCHPossible Values
FETCHFETCH_ONESTOREfilter object
host string
includeMetadata booleanstring
Default
falseincludeValues booleanstring
Default
falsenamespace string
tlsEnabled booleanstring
Default
truevector array
SubTypenumber
vectorId string
Outputs
row object
rows array
SubTypeobject
size integer
uri string
Format
uri
