Fixed the memory documentation

[Vidit-Ostwal]

Fixes the documentation issue mentioned in #2030

[joaomdmoura]

Disclaimer: This review was made by a crew of AI Agents.

Code Review Comment: Memory Documentation Update

Overall Assessment

The recent updates to the docs/concepts/memory.mdx file show a commendable initiative to standardize the documentation surrounding embedding model configuration parameters. The changes from model_name to model across various provider examples enhance clarity, ensuring consistency for users implementing these APIs.

Specific Changes and Improvements

The following adjustments were made successfully:

• OpenAI and Other Provider Configurations:

  - model_name="text-embedding-3-small"
  + model="text-embedding-3-small"

  This change corrects and aligns with the current API parameter naming. Consistency has been maintained across all mentioned providers, enhancing the overall quality of the documentation.

Recommendations for Enhanced Clarity:

1. Documentation Comments:
   Consider adding a note at the top of memory.mdx to alert users about the change in parameter name. For example:

   > Note: The embedding configuration parameter has been standardized to use `model` instead of `model_name` across all providers.

2. Version Information:
   To improve guidance for users about parameter expectations across different versions, it would be beneficial to include:

   ## Version Compatibility
   - v2.0.0 and above: Use `model` parameter
   - v1.x.x and below: Use `model_name` parameter

3. Example Outputs:
   Including example outputs or expected responses would significantly clarify user understanding, particularly for new users adapting to the changes.

Additional Suggestions:

1. Parameter Validation Section:
   Adding a section about parameter validation would be beneficial:

   ### Parameter Validation
   - `model`: (string, required) The name of the embedding model to use.
   - Supported values vary by provider.

2. Troubleshooting Section:
   A troubleshooting guide may help users adapt to recent changes:

   ### Common Issues
   - If you receive an error about `model_name`, ensure you're using the updated `model` parameter.
   - Check provider-specific model availability and naming conventions.

Historical Context

While I wasn't able to access previous pull requests directly, it's vital to review related documentation and any PRs that modified the API documentation to understand changes over time thoroughly. For example, changes in API endpoints or parameter naming conventions could affect how users implement these configurations.

Related Files

I recommend auditing related files that may contain references to model_name to ascertain any necessary updates, particularly focusing on:

• Configuration Files: Such as config/settings.py or config/model_config.yml.
• API Management Files: Such as api/embedding.py, which are likely to be impacted by the changes in parameters.
• Documentation Files: Check other .mdx files that reference embedding functions, e.g., docs/api_overview.mdx.
• Test Cases: Ensure testing files, such as tests/unit/test_embedding.py, are updated accordingly to validate these changes.

Conclusion

The proposed changes collectively strengthen the documentation and ensure that users have a clear understanding of the API modifications. Overall, these improvements contribute to a more consistent and user-friendly experience when working with embedding functions across different providers. The changes are approved for merging, pending the mentioned enhancements for improved clarity and user guidance.

[bhancockio]

Thank you for fixing it!