> ## Documentation Index
> Fetch the complete documentation index at: https://docs.validio.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Generating Validator Recommendations

> Learn how to use Validio's LLM-powered recommendations to quickly set up monitoring on your sources with pre-configured validators.

Validio Recommendations use AI and ML to automatically analyze your data sources and suggest pre-configured validators, streamlining the setup of comprehensive data monitoring.

![The Validators tab of a source with the AI recommendations action available](https://mintcdn.com/validio/30m58lWK6Ph-vklQ/images/docs/ai-features/800-recommendations-ai.png?fit=max\&auto=format\&n=30m58lWK6Ph-vklQ\&q=85\&s=d54ab3dba39056e5a72caa498c023584)

Configure Validators with AI recommendations

Setting up comprehensive data monitoring can be time-consuming when configuring validators individually. **Recommendations** streamline this process by automatically analyzing your data source and suggesting appropriate validators tailored to your schema and data patterns.

Validio offers two recommendation modes:

* **AI recommendations:** Uses LLM-powered analysis for context-aware suggestions (requires LLM credentials).
* **ML recommendations:** Uses statistical machine learning and heuristics

Both modes allow you to profile your data and review existing resources to suggest pre-configured windows, filters, and segmentations alongside validators. You can then select which recommendations to apply, creating multiple validators and resources at once.

## Prerequisites for AI recommendations

To generate recommendations using LLMs, ensure that you have the following:

* Enabled the **Allow LLM credentials** setting in your Validio Workspace. See [Managing Workspace Settings](https://docs.validio.io/v10.1/docs/access-and-settings/settings/workspace-settings.md).
* Appropriate permissions to create credentials (`credentials:WRITE` permissions for the Namespace). See [Managing Roles](https://docs.validio.io/v10.1/docs/access-and-settings/settings/managing-roles.md).
* At least one LLM credential configured in your environment. See [LLM Credentials](https://docs.validio.io/v10.1/docs/integrations/llm-credentials.md).

## Generating recommendations

On the **Validators** tab for a configured Source,

1. Click **AI recommendations** (or **New recommendations** if you do not have an LLM credential).

   ![The recommendations dialog with data profiling, guidance notes, and LLM credential options](https://mintcdn.com/validio/30m58lWK6Ph-vklQ/images/docs/ai-features/800-recommendations-config.png?fit=max\&auto=format\&n=30m58lWK6Ph-vklQ\&q=85\&s=5f11da52591f3214d136d36b50ea5f79)

   AI recommendation options

2. (Optional) In the dialog window, toggle **Use data profiling**. Profiling increases the accuracy of the recommendations.
   * **Sampling Percentage**: (Only available for tables and materialized views.) Use the slider or enter a number to adjust the percentage of data to include in profiling. A higher sampling percentage results in more accurate results, but reads more data and takes longer to complete.

   * **Data Scope**: (Recommended) Cap the execution time on large datasets by limiting the fields and number of rows used for profiling:

     | Setting | Description |
     | :- | :- |
     | Fields | Select specific fields to analyze. By default, all fields are profiled. |
     | Row limit | Set the maximum number of rows to include in the profiling run. |

   * **Lookback Filter**: (Recommended) Limit the data volume scanned by targeting only a specific window of recent data:

     | Setting | Description |
     | :- | :- |
     | Lookback field | Select a timestamp or date field to define the profiling window. This limits the scan to recent data rather than scanning the full dataset. |
     | Lookback duration | The specific amount of time to look back when filtering data. Use this with the **Lookback field** to target only recent records and optimize performance. |

3. (Optional) Add **Guidance notes** to provide domain knowledge or business context, such as key metrics to monitor, data quality priorities, or specific fields to focus on.

4. Choose an LLM credential or **Use Statistical ML** (the default, if you do not have an LLM credential).

5. Click **Run**.

   * Click **Processing** to view a progress checklist as the system and model gathers information and generates recommendations. The process runs in the background, so you can navigate away while it completes.
   * To cancel a processing recommendation, click **Cancel**.

   ![The recommendations progress checklist showing each step as the agent works](https://mintcdn.com/validio/30m58lWK6Ph-vklQ/images/docs/ai-features/800-recommendations-progress.png?fit=max\&auto=format\&n=30m58lWK6Ph-vklQ\&q=85\&s=80f313992fd5442048555673761ff3e3)

   The recommendations agent runs in the background, but you can view its progress

6. Click **View recommendations** to see the list of pre-configured **Validators** as well as relevant **Windows**, **Filters**, and **Segmentations**. The **Requires** column indicates dependencies between the resources.

   ![The generated recommendations list with validators, windows, filters, and segmentations and their dependencies](https://mintcdn.com/validio/30m58lWK6Ph-vklQ/images/docs/ai-features/900-validator-recommendations.png?fit=max\&auto=format\&n=30m58lWK6Ph-vklQ\&q=85\&s=e50f4554ff98ee0a047d8d37f6f2ea16)

   Generated recommendations list

7. Check each of the resources that you want to apply to your source. If you uncheck one resource (such as a segmentation), it will automatically uncheck all validators that require that resource.

8. Click **Apply selected** to create the recommended validators. If you are creating many validators at once, this may take a few minutes to process.

   Once they are created, the validators will automatically backfill with historical data. It may take a few minutes for the data to populate while this initial sync completes.