SAS Viya Copilot is a set of SaaS features that utilizes LLMs to provide end users with a more intuitive and accessible way to work within the SAS Viya ecosystem. This post is part one of a series exploring SAS Viya Copilot for Visual Investigator, with an introduction to SAS Viya Copilot and a deep dive into its assisted search feature for Visual Investigator.
SAS Viya Copilot is available to those who are on SAS Viya 4, with a release version of 2025.12 or later, on an active internet connection. The Copilot features for Visual Investigator was first released for public preview in version 2026.02 and became generally available in 2026.04.
A few key points to mention regarding SAS Viya Copilot:
It’s important to note that it’s crucial you review any output generated by AI to ensure its accuracy.
AI can and do make mistakes.
In order to use Copilot, it must first be activated in the SAS Viya Copilot page in SAS Environment Manager (Mange Environments). Prior to activation, ensure that you’ve set up the appropriate credentials and secrets for Copilot.
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There are several ways to use Copilot to enhance your SAS Visual Investigator usage. You can use the SAS Viya Copilot pane to:
In addition to surfacing insights about your SAS Visual Investigator instance through conversational chat within the Copilot pane, there are three in-context experiences that have been directly embedded:
Depending on your software version, the abovementioned features may first need to be toggled on within SAS Environment Manager. Note that this is only relevant for software releases older than 2026.04, as the features become generally available in 2026.04 and onwards.
The relevant features are:
Additionally, in order for a user to perform an assisted search, they must belong to a group with the “Perform searches assisted by generative AI” capability (svi.search.assisted).
The assisted search feature will take the user’s natural language query and automatically translate it into the appropriate context within SAS Visual Investigator, as well as displaying the returned results using the most appropriate view.
I will cover three examples of how to use the assisted search feature in this post.
To conduct a simple assisted text search, navigate to the Search page, set the Type to Standard search, and select the Assisted search radio button.
In the example below, I’ve searched for “Alerts with scores higher than 250, displayed in a table”. Notice that I’ve specified the object type (Alerts), a condition on the object attribute (alert scores > 250), as well as how I would like to view the data (in a table format).
See below for the returned results, where alerts with scores greater than 250 are returned as a detailed table.
In the second example, I’m interested in finding vehicles that are linked to a particular auto policy through all the auto claims that have been filed against that policy. This is a complicated search, leveraging the linkage between multiple object types. This would typically be done through a relationship search. You can learn more about relationship search in my previous post Relationship Search in SAS Visual Investigator.
To leverage assisted search to perform this search, I’ve simply entered the search prompt: “Find vehicles linked to claims to policy 35432”.
Copilot correctly deduces that my query is best suited for a relationship search and asks me whether I’d like to proceed forward with a relationship search or continue with a standard search.
The search result is shown below, where my result is automatically displayed in a network, showcasing all the interconnections between the different vehicles, the linked claims, and the target auto policy.
Lastly, let’s look at how Copilot handles a search involving geographical data. Starting on the same standard search page with the Assisted search radio button selected, I typed in the search prompt “I want to see home claims that happened on Pembury Road”.
Again, Copilot has correctly deduced the best type of search for my search prompt—map search.
The result is shown below, in map view. As you can see, it was able to correctly find the home claim whose address is listed as Pembury Road.
Assisted search is a fantastic feature that would significantly enhance the user’s search. Being able to use natural, conversational language to search within the data repository is a true game changer.
In this post, I provided an introduction to SAS Viya Copilot for Visual Investigator and a deeper dive into the assisted search feature. In the next post, I will cover the remaining features:
I will provide detailed examples on how to use these features in the SAS Visual Investigator’s Investigator UI (Investigate and Search Data), as well as the necessary configuration steps in the Admin UI (Manage Investigation and Search).
Stay tuned!
For additional content on SAS Visual Investigator, check out the following posts:
Find more articles from SAS Global Enablement and Learning here.
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