source-snowflake: discover vector columns #2157
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Snowflake has a special type of column for storing vector embeddings. These columns contain either integer or float values in a fixed-length array. We can discover schemas for these fields accordingly, giving their discovered arrays annotations for the type of items and min/max length of the array, which will always be the size of the vector. These types of schematized fields may eventually be used by materializations for materializing into corresponding vector columns or indexes.
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Description:
Snowflake has a special type of column for storing vector embeddings. These columns contain either integer or float values in a fixed-length array.
We can discover schemas for these fields accordingly, giving their discovered arrays annotations for the type of items and min/max length of the array, which will always be the size of the vector.
These types of schematized fields may eventually be used by materializations for materializing into corresponding vector columns or indexes.
Workflow steps:
(How does one use this feature, and how has it changed)
Documentation links affected:
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