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AppsDatabricks ToolsDatabricks Vectorsearch Vector Search Indexes Upsert Data
Databricks Tools

Databricks Vectorsearch Vector Search Indexes Upsert Data

Tool to upsert (insert or update) data into a Direct Vector Access Index. Use when you need to manually add or update vectors in a Databricks vector search index. The index must be a Direct Vector Access Index type where updates are managed via REST API or SDK calls. Data struct…

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Use Databricks Vectorsearch Vector Search Indexes Upsert Data

Pricing and limits

Pricing
Free
Unified payment
Not currently supported

Inputs

  • vectorsarray
    Required
    Array of vector objects to upsert into the index. Each entry must contain an id (matching the primary key), vector array, and optional metadata fields that match the index schema
  • index_namestring
    Required
    The fully qualified name of the Direct Vector Access Index where data will be upserted. Must be in the format: catalog.schema.index_name (e.g., 'main.default.test_index'). The index must be a Direct Vector Access Index type, not a Delta Sync Index

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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