What This Category of Data Looks Like
Railway operation policy and regulatory basis data mainly comes from official regulations released by China State Railway Group Co., Ltd., TB/T series railway industry standard documents, operation implementation rules from railway bureaus, and temporary control notices. The update schedule follows: regular policies are synced quarterly, and temporary control requirements are updated in real time when released. The document structure is fixed, including fields for document number, issuing unit, effective date, clause text, and applicable operation scenarios. Fields are organized by article, paragraph, and subparagraph as hierarchical units. The length of a single document ranges from hundreds to tens of thousands of characters.
Constraints on Workflow Orchestration
Railway operation policy documents have wide length ranges, multiple detailed operating scenarios, and clear effective time limits. These characteristics impose multiple constraints on workflow orchestration. Long documents require appropriate chunking rules to avoid broken context logic after splitting. Policies cover multiple operating links including passenger transport, freight transport, scheduling, and safety supervision. Scenario filtering nodes must be configured to match the current executing operation task. Policy effective dates require embedding time verification links to only call policy content within the effective period. Format differences across multiple data sources require configuring unified document parsing nodes to standardize core fields such as document numbers and effective dates.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Document Chunk Length | 800–1200 characters | Adapts to the average length of railway policy documents, avoids broken context logic caused by chunking |
| Scenario Filtering Node | Match top 3 scenario tag results | Covers precise matching requirements for core operating scenarios such as passenger transport, freight transport, scheduling |
| Effective Time Verification Switch | Enabled | Ensures only policy content within the effective period is called, avoids interference from expired policies |
variables Parameter Configuration | Pass user question, operating scenario, current time, knowledge base ID | Enables dynamic matching of applicable policies, time validity verification, and binding of specified knowledge bases |
nodeId Binding Rule | Bind scenario filtering node and time verification node to knowledge base search node | Ensures the workflow executes verification and matching logic in sequence |
| Single Result Return Limit | Top 5 entries | Controls context length to avoid exceeding the token limit of AI conversations |
Three Common Configuration Mistakes
- Phenomenon: Policy results returned by the workflow do not match the current operating link. For example, returning freight management policies for a passenger transport scheduling scenario. Cause: Failed to pass user question and operating scenario as
variablesto the workflow, and no scenario filtering node was configured. - Phenomenon: The workflow returns expired obsolete policy content, or prompts that no matching results exist. Cause: The effective time verification switch was not enabled, and the correspondence between policy effective date and current time was not verified.
- Phenomenon: The knowledge base search node cannot read the specified railway policy knowledge base, and returns empty results. Cause: The knowledge base ID was not bound to the search node's configuration as a
variablesparameter, causing the node to fail to identify the target knowledge base.
How to Verify Correct Configuration
- Upload a railway passenger transport policy document marked with an effective date, trigger the workflow, and check if the returned results include content where the current time is within the effective period.
- Pass different operating scenario parameters such as "freight scheduling" and "passenger security inspection", and check if the returned results only match policy clauses corresponding to the target scenario.
- View the workflow logs in FastGPT v4.17.0, confirm that the
variablesparameter has been correctly passed to the scenario filtering, time verification, and knowledge base search nodes. - Pass the document number of an obsolete policy, check if the workflow automatically filters the document and returns a prompt that no matching results exist.
The values listed above are common starting points and should be evaluated 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.