Data

The Data Section in assistant settings allows you to specify and manage datasets and caching preferences. This configuration helps in leveraging specific datasets and databases for more effective skill creation and optimization of responses.

Audience

This guide is intended for users configuring their assistants to optimize data usage and performance.

Prerequisites

• Access to the assistant settings.
• Knowledge of the datasets and databases relevant to your use case.

Main Content

1. Specifying a Dataset

• Navigate to the Data Section in the assistant settings.
• Specify a dataset:
  • Use the input field to name or link a particular dataset you want the assistant to utilize.
  • This dataset will be applied consistently for all relevant operations.
• Optional: Include a database to allow leveraging additional datasets for creating or writing skills.

2. Enabling Answer Caching

• Locate the Enable Skill Result Cache toggle in the Data Section.
• Turn it on to activate caching:
  • Cached responses ensure that if the same question is asked multiple times, the assistant will provide the same response without reprocessing.
  • This feature is beneficial for repetitive queries, improving response speed and consistency.

Examples

Dataset Usage

• Example: Specifying a product catalog dataset to assist in answering inventory-related questions consistently.

Caching

• Use Case: For FAQs in a customer support assistant, caching previously processed answers reduces server load and ensures quicker replies.

Additional Notes or Best Practices

• Ensure the dataset and database are up-to-date and relevant to avoid inaccuracies in responses.
• Regularly monitor and manage cached answers to prevent outdated or incorrect information from being delivered.

Conclusion

The Data Section in assistant settings provides powerful tools to define datasets and enable caching. By tailoring these settings, you can enhance the assistant’s performance and efficiency. For further optimizations, consider integrating databases and regularly updating your datasets.