The following core building blocks represent the main functional modules available in the iQ Studio user interface.
AI agents
Decision making components that process user queries and orchestrate tasks. They rely on tools such as MCP servers, APIs, and connectors to perform external actions like web searches or data retrieval. Worker agents use tools and knowledge bases to execute domain specific actions. Supervisor agents coordinate multiple worker agents, assign tasks, and aggregate results.
Tool library
Allows you to create and manage MCP servers, web connectors, and other integrations so agents can perform actions such as web searches, API calls, and data retrieval.
Knowledge base
Provides curated content from your unstructured business documents that agents use for retrieval augmented generation (RAG) and ensuring responses are grounded in real documents.
Data estate browser
Connects to data sources and lets you manage and explore assets across object storage systems supporting the S3 protocol.
Administrator
Provides centralized controls to manage users, system settings, AI models, and platform integrations in iQ Studio. It supports organization wide governance by enabling control over access, security configuration, model availability, and agent related system operations.
Guardrails
Guardrails help Administrators make sure that large language models (LLMs) in iQ Studio operate safely and follow organizational policies. Guardrails check input and output text in real time and prevent unsafe behavior, such as sharing sensitive information, generating harmful content, and responding to prompts that try to bypass system rules. Administrators can enable and configure guardrails for each model. Guardrails are not enabled by default.