Frequently asked questions

Context Grounding is a new UiPath® feature, part of the AI Trust Layer. It provides a mechanism to search and retrieve relevant context from data to ground prompts and guide more precise generations from large language models (LLMs) through UiPath GenAI features and products.

Context Grounding provides evidence via user-provided data to LLMs to influence their generations. This makes predictions more tailored to your use cases and data, rather than based on the general data upon which LLMs are trained. This allows both attended and unattended automations which leverage GenAI to be more accurate and precise.

Context Grounding provides two services:

You can use Context Grounding through UiPath GenAI Activities.

No, but it does significantly reduce the likelihood of hallucinations because generations are based on information queried from user-provided data. By default, Context Grounding provides a citation, or proof of knowledge, from which the generation was based. This means you can verify and validate the source. When Context Grounding isn't able to find a highly confident corresponding answer in the provided data, it does not try to make up answers. Instead, it generates a response such as: "An answer could not be found".

Context Grounding is now available in preview. It is accessible to all tenants and organizations. Context Grounding is only hosted in the United States and European Union regions. Data leveraged by Context Grounding is limited to these two regions. Other UiPath regions will be routed to these two regions.

Context grounding is free while the feature is in preview.

Yes, Context Grounding is only available in UiPath Automation Cloud^TM.

Context Grounding is available in the United States and European Union regions of UiPath Automation Cloud^TM.

Context Grounding currently works with PDF, JSON, and CSV objects. Future releases will bring additional support for structured and unstructured data formats.

To leverage Context Grounding, you need to import data into UiPath Orchestrator storage buckets (via direct upload, Studio activity, or API). You can then use Context Grounding activities to ingest and index, and manage the queried data to ensure highly relevant results.

The limit of data you can use to ground your prompts is based on the model context window token size limits. Refer to the model you are using to execute the RAG (e.g., in GenAI activities) to determine potential token limit thresholds.

Context Grounding does provide a RAG service at runtime for UiPath GenAI experiences. However, it also provides a managed vector database as a service to help manage the data used at runtime. This guarantees a high-quality search and generated results.

Context grounding is currently available as part of the UiPath GenAI Activities activity package. You can use the service as standalone activities or as parameters in the activity.

All data shared with UiPath is treated with standard enterprise compliance, encryption, and security standards. This includes features like Context Grounding. Context Grounding is also part of the AI Trust Layer, which means your data is never stored outside of UiPath, nor is it used to train third-party models.

Context Grounding is tenant-scoped and takes advantage of existing RBAC, AuthZ policies in UiPath, in addition to encrypting data at rest and in transit.

Because it is tenant-scoped, no data is shared across indices within the same tenant or across tenants.

Context Grounding is tenant-scoped. We support folder-level authorization in Orchestrator buckets, and Context Grounding leverages existing authentication and Automation Ops policies applied to the GenAI Activities.

In the UiPath GenAI activities you can select which LLM to use for executing the RAG portion that Context Grounding supports. You can select any LLM available in the LLM Gateway (part of the UiPath AI Trust Layer). UiPath then manages the ingestion and semantic search strategies to optimize the generation.