
Tablestore
Tablestore
yaml
type: "io.kestra.plugin.ai.embeddings.Tablestore"Examples
yaml
id: document_ingestion
namespace: company.ai
tasks:
- id: ingest
type: io.kestra.plugin.ai.rag.IngestDocument
provider:
type: io.kestra.plugin.ai.provider.GoogleGemini
modelName: gemini-embedding-exp-03-07
apiKey: "{{ kv('GEMINI_API_KEY') }}"
embeddings:
type: io.kestra.plugin.ai.embeddings.Tablestore
endpoint: "{{ kv('TABLESTORE_ENDPOINT') }}"
instanceName: "{{ kv('TABLESTORE_INSTANCE_NAME') }}"
accessKeyId: "{{ kv('TABLESTORE_ACCESS_KEY_ID') }}"
accessKeySecret: "{{ kv('TABLESTORE_ACCESS_KEY_SECRET') }}"
fromExternalURLs:
- https://raw.githubusercontent.com/kestra-io/docs/refs/heads/main/content/blogs/release-0-24.md
Properties
accessKeyId*Requiredstring
accessKeySecret*Requiredstring
endpoint*Requiredstring
instanceName*Requiredstring
metadataSchemaListarray
Definitions
com.alicloud.openservices.tablestore.model.search.FieldSchema
analyzerstring
Possible Values
SingleWordMaxWordMinWordSplitFuzzyanalyzerParameter
com.alicloud.openservices.tablestore.model.search.analysis.AnalyzerParameter
dateFormatsarray
SubTypestring
enableHighlightingboolean
enableSortAndAggboolean
fieldNamestring
fieldTypestring
Possible Values
LONGDOUBLEBOOLEANKEYWORDTEXTNESTEDGEO_POINTDATEVECTORFUZZY_KEYWORDIPJSONUNKNOWNindexboolean
indexOptionsstring
Possible Values
DOCSFREQSPOSITIONSOFFSETSisArrayboolean
jsonTypestring
Possible Values
FLATTENNESTEDsourceFieldNamesarray
SubTypestring
storeboolean
subFieldSchemasarray
vectorOptions
com.alicloud.openservices.tablestore.model.search.vector.VectorOptions
dataTypestring
dimensioninteger
metricTypestring
Possible Values
EUCLIDEANCOSINEDOT_PRODUCT