Workflow Parallel Template
The Workflow Parallel template demonstrates how a workflow can execute multiple independent branches simultaneously and synchronize them before continuing. Instead of processing every task sequentially, BindAI can run several branches concurrently, significantly reducing overall execution time for independent operations. This template introduces concurrent workflow execution.Purpose
This template demonstrates how to:- execute multiple branches simultaneously
- synchronize parallel execution
- combine results from independent tasks
- improve workflow performance
- coordinate multiple agents
Workflow Structure
A parallel workflow typically looks like this.Execution Flow
The workflow reaches the Parallel node.Parallel Node
The Parallel node starts multiple execution paths.Independent Branches
Parallel branches should not depend on one another. Good example:Join Node
Once every branch completes, execution continues.Synchronization
The Join node waits until every expected branch has arrived.Example
Suppose two agents gather different information.Shared Workflow Context
All branches share the same workflow context.Performance Benefits
Sequential execution:Typical Use Cases
Parallel workflows are useful for:- multiple AI agents
- independent API calls
- document analysis
- retrieval from several knowledge sources
- report generation
- validation tasks
- external integrations
Parallel vs Sequential
Choose the approach based on task dependencies.
Error Handling
If one branch fails, workflow behavior depends on your design. Common strategies include:- fail the workflow
- retry the failed branch
- continue with partial results
- route to an error handler
Related Templates
The Parallel template builds upon:- Workflow Basic
- Workflow Condition
- Workflow Loop
- Workflow Human
- Workflow Retry
- Workflow Timeout
- Workflow Schedule
Best Practices
- Execute only independent tasks in parallel.
- Use separate workflow variables for each branch.
- Synchronize branches with a Join node.
- Keep branches balanced in complexity.
- Handle branch failures explicitly.
- Avoid unnecessary parallelism for very small tasks.
