gemini-code-assist[bot] commented on PR #37343:
URL: https://github.com/apache/beam/pull/37343#issuecomment-3766318179

   ## Summary of Changes
   
   Hello @mohamedawnallah, I'm Gemini Code Assist[^1]! I'm currently reviewing 
this pull request and will post my feedback shortly. In the meantime, here's a 
summary to help you and other reviewers quickly get up to speed!
   
   This pull request introduces a new example notebook that guides users 
through the process of generating text embeddings using OpenAI's powerful 
models within the Apache Beam MLTransform framework. It highlights how to 
leverage models like 'text-embedding-3-small' and 'text-embedding-3-large', 
demonstrating the flexibility of configuring embedding dimensions to optimize 
for specific use cases. The accompanying documentation has also been updated to 
reflect this new capability, providing a comprehensive resource for integrating 
OpenAI text embeddings into Beam pipelines.
   
   ### Highlights
   
   * **New OpenAI Text Embeddings Notebook**: A new example notebook has been 
added to demonstrate how to generate text embeddings using OpenAI models (e.g., 
'text-embedding-3-small', 'text-embedding-3-large') with Apache Beam's 
MLTransform.
   * **Configurable Embedding Dimensions**: The notebook showcases the ability 
to configure the dimensions of the generated embeddings, allowing users to 
balance quality with storage and computation costs.
   * **MLTransform Read/Write Modes**: The example illustrates the use of 
MLTransform in both 'write' mode (to save transforms) and 'read' mode (to apply 
saved transforms for consistent preprocessing).
   * **Documentation Update**: The MLTransform documentation on the Apache Beam 
website has been updated to include OpenAITextEmbeddings as a supported 
transform, along with a link to the new example notebook.
   
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