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Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Chunking transformation
  9. Cleanse transformation
  10. Data Masking transformation
  11. Data Services transformation
  12. Deduplicate transformation
  13. Expression transformation
  14. Filter transformation
  15. Hierarchy Builder transformation
  16. Hierarchy Parser transformation
  17. Hierarchy Processor transformation
  18. Input transformation
  19. Java transformation
  20. Java transformation API reference
  21. Joiner transformation
  22. Labeler transformation
  23. Lookup transformation
  24. Machine Learning transformation
  25. Mapplet transformation
  26. Normalizer transformation
  27. Output transformation
  28. Parse transformation
  29. Python transformation
  30. Rank transformation
  31. Router transformation
  32. Rule Specification transformation
  33. Sequence transformation
  34. Sorter transformation
  35. SQL transformation
  36. Structure Parser transformation
  37. Transaction Control transformation
  38. Union transformation
  39. Vector Embedding transformation
  40. Velocity transformation
  41. Verifier transformation
  42. Web Services transformation

Transformations

Transformations

Output fields

Output fields

The output fields of a Chunking transformation include a
ChunkedText
field that stores the chunks and a
ProcessedText
field that stores the processed text. If the Chunking transformations performs both chunking and text processing, the
ProcessedText
field stores the output after applying text processing functions to the chunks.
As an active transformation, the Chunking transformation delivers an output that's usually equal to or more than the number of rows you input into the transformation. Empty or null rows aren't factored into the splitting methods and don't appear in the
ChunkedText
field.
You can pass the output fields to a Vector Embedding transformation to generate vector embeddings. If the Chunking transformation performs both chunking and text processing, use
ProcessedText
to generate vector embeddings. However, you should also pass
ChunkedText
to the downstream Vector Embedding and Target transformations and include the chunks in the vector embedding metadata that's inserted into the vector database.

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