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feat: make it easier to create empty tables (#942)
This PR also reworks the table creation utilities significantly so that they are more consistent, built on top of each other, and thoroughly documented.
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@@ -12,18 +12,53 @@
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// See the License for the specific language governing permissions and
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// limitations under the License.
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import { type Float } from 'apache-arrow'
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/**
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* An embedding function that automatically creates vector representation for a given column.
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*/
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export interface EmbeddingFunction<T> {
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/**
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* The name of the column that will be used as input for the Embedding Function.
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*/
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* The name of the column that will be used as input for the Embedding Function.
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*/
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sourceColumn: string
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/**
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* Creates a vector representation for the given values.
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*/
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* The data type of the embedding
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*
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* The embedding function should return `number`. This will be converted into
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* an Arrow float array. By default this will be Float32 but this property can
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* be used to control the conversion.
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*/
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embeddingDataType?: Float
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/**
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* The dimension of the embedding
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*
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* This is optional, normally this can be determined by looking at the results of
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* `embed`. If this is not specified, and there is an attempt to apply the embedding
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* to an empty table, then that process will fail.
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*/
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embeddingDimension?: number
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/**
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* The name of the column that will contain the embedding
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*
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* By default this is "vector"
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*/
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destColumn?: string
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/**
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* Should the source column be excluded from the resulting table
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*
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* By default the source column is included. Set this to true and
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* only the embedding will be stored.
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*/
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excludeSource?: boolean
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/**
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* Creates a vector representation for the given values.
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*/
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embed: (data: T[]) => Promise<number[][]>
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}
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