Embedding size mismatch error

[ghostwhowalks]

I'm working through the example VerteX AI doc matching

and am getting an embedding size mismatch error.  Is this related to the approximateNeighborscount in the index_metadata being much higher than the documents specified?

nearestNeighborSearchOperationMetadata:

    contentValidationStats:

    - invalidRecordCount: '5'

      partialErrors:

      - embeddingId: '0'

        errorMessage: Embedding field is missing

        errorType: EMBEDDING_SIZE_MISMATCH

[Alexpearce]

---

@ghostwhowalks wrote:  livetheorangelife

I'm working through the example VerteX AI doc matching

and am getting an embedding size mismatch error.  Is this related to the approximateNeighborscount in the index_metadata being much higher than the documents specified?

nearestNeighborSearchOperationMetadata:

    contentValidationStats:

    - invalidRecordCount: '5'

      partialErrors:

      - embeddingId: '0'

        errorMessage: Embedding field is missing

        errorType: EMBEDDING_SIZE_MISMATCH

---

Yes, the "Embedding Size Mismatch" error likely arises due to a disparity between the specified embeddingSize in the index_metadata and the actual size of the embeddings in the documents.