Policy and Regulatory Basis Q&A for Fertilizers and Pesticides: Workflow Orchestration

Policy and Regulatory Basis Q&A for Fertilizers and Pesticides: Workflow Orchestration

What this category of data looks like

Data for fertilizers and pesticides policy and regulatory basis mainly comes from official public channels of agricultural and rural affairs authorities, standardization administration authorities, emergency management authorities, and industry and information technology authorities. Updates are synchronized when new policies are issued or new standards take effect. Documents mostly use a clause-based structure, including fields such as document number, issuing authority, effective date, scope of application, and specific clauses. Field units include multiple types such as tons, hectares, kilograms, and percentage.

Constraints imposed on workflow orchestration by these characteristics

Fertilizers and pesticides-related policy documents are mostly long-text clause-based structures and include multi-dimensional fields. Workflow orchestration must accommodate long-text splitting and multi-field extraction. Since data update rhythms are not fixed, workflows must be configured with a regular data source synchronization node. Since field units are diverse, workflows must add a unit unified conversion node. Since policies have effective dates and scope of application, workflows must verify time and region matching when a Q&A is triggered, to avoid referencing invalid or inapplicable policy content.

How to set the configuration

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended ValueRationale for This Setting
Chunk Length800–1200 charactersAdapt to the splitting granularity of clause-based long texts for fertilizers and pesticides policies, balancing recall accuracy and context length
Overlap Length100–200 charactersAvoid context breaks after clause splitting, maintaining logical coherence of policy content
Single Search LimitTop 10 resultsMatch the recall volume of fertilizers and pesticides policy data, filtering redundant information
Maximum Context6000 charactersAdapt to the workflow's context processing capability, avoiding exceeding the carrying threshold
variablesBind policy document number, effective date, scope of application fieldsEnsure accurate calling of corresponding policy attributes during Q&A
nodeIdBind data source synchronization node and Q&A nodeEnsure normal data flow between workflow nodes

Three common misconfigurations

  • A workflow throws an error of the type bootstrap-legacy-autofill-overlay.js:6247 Uncaught TypeError: Cannot r during runtime: The cause is failure to correctly bind the policy fields corresponding to variables, leading to abnormal data transfer between nodes.
  • After adding a custom policy query plugin, no input or output parameters are displayed for workflow nodes: The cause is failure to correctly associate the plugin's parameter mapping in the nodeId configuration, or the plugin has not been saved and activated.
  • In a private deployment scenario, the workflow runtime error prompts a configuration file exception: The cause is failure to correctly configure the data source access permissions, or the configuration file format does not meet requirements.

How to verify a successful configuration

  • Trigger a workflow test, check whether the split text fragments completely cover the policy clauses, with no obvious context breaks.
  • Check whether the fields bound to variables correctly correspond to attributes such as document number, effective date, and scope of application in the policy documents, with no null values or incorrect mappings.
  • After running the workflow, check whether the nodes associated with nodeId normally transfer data, with no interruption prompts.
  • Simulate a query for an invalid policy document number, confirm that the workflow automatically filters the relevant results or prompts that the content is invalid.

The values given are common starting points and should be measured against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.