Dis correct —Context Groundingin UiPath usessemantic search across indexed contentto provide relevant and meaningful context to the agent, even when the data spansmultiple documents.
This capability is powered by:
Embedding-based similarity search(e.g., cosine similarity)
Intelligent chunking and indexing of enterprise data
Runtime query matching based on theagent’s prompt or user input
This enables agents to:
Retrieverelevant information across distributed content
Detectrelationships between topics, even if data is fragmented
Supportmulti-document summarization,comparison, andknowledge-based reasoning
For example, an agent could compare policy details across multiple HR documents to generate a unified response or identify inconsistencies in invoice records spread across different files.
Option A is false —Context Grounding is automaticonce indexing is configured.
B is incorrect — it's explicitly designed toquery across documents.
C misrepresents the system — it doesn’t extract random text; it retrievessemantically relevantpassages based on the LLM's intent.
This powerful grounding mechanism makes UiPath agentsintelligent, context-aware, and enterprise-ready, especially in knowledge-intensive environments.
