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fix rel notes typo
Signed-off-by: Dj Walker-Morgan <[email protected]>
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advocacy_docs/edb-postgres-ai/ai-accelerator/rel_notes/ai-accelerator_4.1.0_rel_notes.mdx

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<table class="table w-100"><thead><tr><th>Description</th><th width="10%">Addresses</th></tr></thead><tbody>
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<tr><td><details><summary>Automatic unnesting of Preparer results for operations that transform the shape of data.</summary><hr/><p>The preparer pipeline for operations that transform the shape of their input data with an additional dimension now unnest their result collections.
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This allows the output of preparers to be consumed much more easily by other preparers or knowledge bases.
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Unnested results are returned with a new <code>part_id</code> column to track the new dimension. There is also a new <code>unique_id</code> column to unqiuely identify the combination of the source key and part_id.</p>
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Unnested results are returned with a new <code>part_id</code> column to track the new dimension. There is also a new <code>unique_id</code> column to uniquely identify the combination of the source key and part_id.</p>
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</details></td><td></td></tr>
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<tr><td><details><summary>Batch processing for embeddings with external models.</summary><hr/><p>The external model providers <code>embeddings</code>, <code>openai_embeddings</code>, and <code>nim_embeddings</code> can now send a batch of inputs in a single request, rather than multiple concurrent requests.
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This can improve performance and hardware utilization. The feature is fully configurable and can also be disabled.</p>

advocacy_docs/edb-postgres-ai/ai-accelerator/rel_notes/src/rel_notes_4.1.0.yml

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details: |
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The preparer pipeline for operations that transform the shape of their input data with an additional dimension now unnest their result collections.
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This allows the output of preparers to be consumed much more easily by other preparers or knowledge bases.
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Unnested results are returned with a new `part_id` column to track the new dimension. There is also a new `unique_id` column to unqiuely identify the combination of the source key and part_id.
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Unnested results are returned with a new `part_id` column to track the new dimension. There is also a new `unique_id` column to uniquely identify the combination of the source key and part_id.
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jira: "AID-410"
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addresses: ""
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type: Enhancement

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