Documentation
An illustrated user manual: step-by-step instructions, real interface screenshots with sample data, and checks for each feature.
Build your first application
Follow the steps from creating an application to testing and publishing it.
Getting started 4 guides
Application design 5 guides
Configure applications and multimodal features
Configure inputs, conversation features, speech, image generation and business processes.
Design agent business processes
Separate goals and instructions into processes selected for each user request.
Variables and input forms
Collect structured data before an application runs.
Speech and image generation
Enable speech input, spoken answers and image generation with supported models.
Version history and restoration
Restore earlier configuration into a draft while controlling publication.
Knowledge & data 8 guides
Build a knowledge base
Ground answers in your own documents.
Manage documents and chunks
Track ingestion, inspect original documents and manage chunks used for retrieval.
Folders, filtering and moving documents
Organise knowledge documents and act on the intended scope.
Inspect and edit knowledge chunks
Edit the content actually used for retrieval.
Test and tune retrieval
Inspect retrieved context before using it in answers.
Design knowledge ingestion pipelines
Choose a template and customise how data enters a knowledge base.
Connect data sources
Reuse source connections for document ingestion.
Connect external knowledge
Connect an existing retrieval service in your organisation.
Workflows & automation 8 guides
Design visual workflows
Connect processing steps and inspect each run.
Workflow node reference
Choose and configure the 28 node types available in the editor.
Run, trace and compare workflows
Locate failing steps through each node’s actual inputs and outputs.
Import/export DSL and environment variables
Move application structure between environments and configure secrets at the destination.
Reuse snippets and edit the canvas
Save reusable structures and use the canvas editing tools.
Automate with triggers
Start workflows from events or schedules.
Webhooks, schedules and event retries
Attach triggers to workflows and track incoming events.
Review approval requests
Keep a human decision in approval-gated flows.
Tools & integrations 5 guides
Give agents tools
Connect built-in tools, HTTP APIs and MCP servers.
Configure API tools
Let agents call APIs registered in the workspace.
Connect MCP servers
Discover and select MCP operations for agents.
Use workflows as tools
Reuse a workflow through a tool interface.
Use extension APIs for moderation
Register a moderation endpoint managed by your organisation.
Publishing & quality 13 guides
Publish and share
Deliver a tested version through the right channel.
Web apps, embedding and chat experience
Deliver a published application through a link or embedded widget.
Connect messaging channels
Connect a published application to a supported communication channel.
Use the application API and MCP
Integrate published apps into another system.
Workspace API keys and MCP capabilities
Issue scoped keys for integrating systems.
Read logs and execution traces
Trace application results back to conversations or execution steps.
Set up canned answers
Provide consistent answers to explicitly matched questions.
Evaluate and compare quality
Use test datasets to track application quality across runs.
Export training data
Prepare application data before submitting a training job.
Monitor usage and quality
Understand runs, costs, feedback and audit events.
Manage long-term memory
Review and govern information retained across interactions.
Review memories and their evidence
Decide what may be reused in later AI turns.
Configure, retain and disable memory
Control extraction frequency, retention and data when disabling memory.
Workspace management 10 guides
Manage your workspace
Organize members, roles, API keys and quotas.
Invite members and control access
Place people in the correct workspace, role and departments.
Create roles and assign permissions
Define workspace permissions around team responsibilities.
Token and request quotas
Set usage limits for the appropriate scope and period.
Configure data protection
Align AI usage with your organization’s data policies.
Manage outbound connections
Configure allowed destinations for tools and external services.
Set up branding, storage and identity
Configure workspace services from dedicated settings pages.
Manage S3 storage
Monitor the bucket, storage use and unreferenced objects.
Configure single sign-on
Connect an identity provider and map user groups.
Fine-tune a model
Submit and track training through configured providers.
Instance administration 7 guides
Administer the instance
Operate the installation beyond a single workspace.
Organisations and instance quotas
Operations for AI Studio instance administrators.
Instance accounts
Operations for AI Studio instance administrators.
Check service health
Operations for AI Studio instance administrators.
Change runtime settings
Operations for AI Studio instance administrators.
Network zones and destinations
Operations for AI Studio instance administrators.
Control feature flags
Operations for AI Studio instance administrators.
