AIP features
Applications across the Palantir platform are equipped with AIP-powered capabilities, as described on this page. These capabilities are powered by your choice of LLMs supported by the platform.
AIP applications and builder capabilities
AIP enables developers and builders to create LLM-backed workflows, agents, and applications in the Palantir platform using LLM-native tools like AIP Agent Studio and AIP Logic, or AIP-accelerated platform applications like Pipeline Builder and Workshop.
Palantir-provided LLMs are also available in core Foundry features such as Functions, Transforms, and Jupyter® notebooks via Code Workspaces.
In addition, existing Palantir capabilities for model integration allow users to connect custom large language models and independently build use cases from scratch.
More information is available in the application reference below.
AIP application reference
The table below describes AIP applications and provides information on when you may want to use them. You may also wish to review the application reference page for Foundry suite applications.
| Application | Description |
|---|---|
| AIP Assist | AIP Assist is an LLM-powered support tool that helps users navigate the Palantir platform by providing real-time, secure natural language assistance. Users can accelerate their workflows and increase productivity by asking AIP Assist questions and receiving context-aware responses in their preferred language. |
| AIP Logic | AIP Logic is a no-code development environment for creating, testing, and deploying AI-powered functions - giving you a point-and-click way to use the power of LLMs backed by the data in your Ontology. AIP Logic provides an intuitive interface for engineering prompts, setting up automation, and integrating structured or unstructured Ontology data. You can use AIP Logic to easily streamline and automate complex processes, such as scheduling or optimization problems, while maintaining robust security controls. |
| AIP Agent Studio | AIP Agent Studio enables you to create interactive agents that can leverage enterprise-specific data in the Ontology and a range of tools to complete tasks and achieve goals. You can deploy LLM-powered AIP agents to automate manual actions, edit Ontology data, streamline workflows, and enhance application interactions. |
| AIP Evals | AIP Evals are the foundation of stable, reliable AIP workflows in production environments; by using AIP Evals to test and evaluate LLM-based functions and prompts, you can build confidence in LLM-backed workflows. By setting up test cases and evaluation criteria in AIP Evals, you can systematically debug, iterate, and improve your implementations, compare different models, and examine variance across runs. |
| AIP Threads | AIP Threads gives you an easy way to use LLMs to perform tasks and ad-hoc analyses, requiring no technical setup to interact with documents and AIP agents - just drag and drop documents into AIP Threads or pick from a range of existing resources and agents, then prompt the LLM with your request. |
AIP features in platform applications
AIP features have also been embedded into core Foundry applications to help users accelerate their workflows and unlock more value in the platform. The following are a selected sample of AIP features, not an exhaustive list. The latest AIP updates can be found in the Announcements section of the documentation. Platform administrators may govern usage of these capabilities via Control Panel under AIP settings.
AIP Assist sidebar
From any platform application, you can open the AIP Assist sidebar to get support; AIP Assist is context-aware, so answers to queries will change depending on which platform application is active. You can open AIP Assist from your workspace navigation bar or access it with a keyboard shortcut (Cmd + Shift + U (macOS) or Ctrl + Shift + U (Windows)).
Pipeline Builder
Use AIP in Pipeline Builder to help you better understand, build, and manage your pipeline. Pipeline Builder has a core set of Assist features and additional AIP capabilities for custom workflows.
A sample of core Assist features in Pipeline Builder include:
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Explain: Learn more about the steps in your pipeline development and suggest relevant names and descriptions.
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Regex Helper: Generate a RegEx customized for your needs, suitable for all skill levels.
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Transform Assist: Create and edit regular expressions and easily cast strings to specific timestamp formats.
Additionally, with the appropriate permissions, you can use AIP capabilities for custom workflows in Pipeline Builder, such as the following:
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The Use LLM node, offering a convenient method for executing large language models (LLMs) on your data at scale. Five pre-engineered templates are provided for a beginner-friendly start to using LLMs that leverages the expertise of experienced prompt engineers.
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You can also run trials over a few rows of your input dataset to iterate on your prompt before running your model on an entire dataset.
Notepad
AIP brings LLM-powered functionality to Notepad, where you can use AIP to automatically spellcheck, shorten, modify, or translate your text without affecting the document's existing formatting.
Scheduler
You can use AIP in the Scheduler application to generate a schedule configuration when creating a dataset build schedule with a specific time trigger. Input a schedule trigger prompt within the New schedule view side panel to generate the proper cron format for complex triggers.
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