What Data for This Category Looks Like
Data for hazardous chemicals storage and transportation policy and regulatory basis comes primarily from official announcements, national standards, and industry specifications released by the Ministry of Emergency Management and the Ministry of Transport. Data updates are synchronized with new policy releases, with no fixed cycle. Documents use a clause-based structure, and include fields such as document number, issuing authority, effective date, application scenarios, specific storage and transportation requirements, and regulatory clauses. Some documents include quantitative metrics, such as storage volume limits and transport time limit requirements.
What Constraints These Characteristics Impose on the Model Access and Configuration Link
Policy documents are long and contain numerous technical terms and quantitative metrics, which imposes requirements on model context processing capabilities. Data updates have no fixed cycle, so support for regular knowledge base sync updates is needed to avoid using outdated policy content. Field differences across different policy files are significant, so accurate recall rules must be configured to match corresponding clauses. Some policies include cross-department collaboration requirements, so the model must be able to accurately associate relevant content across different files to avoid recall bias. Additionally, policy content has extremely high authority requirements, so complete citation source information must be strictly retained.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Policy documents are often long, requiring sufficient context fragments to cover complete policy clauses |
maxTokens | 2000–3000 token | Policy Q&A needs to output complete clause explanations to avoid truncating key regulatory requirements |
quoteMaxToken | 1500–2000 characters | Ensure quoted original policy text is sufficiently complete to cover specific clauses corresponding to user questions |
temperature | 0.1–0.3 | Policy content must remain rigorous and accurate, reducing the probability of randomly generated content |
AIPROXY_API_ENDPOINT | Fill in the address provided by the selected model service provider | Ensure normal model call connectivity, adapting to the professional model capabilities required for hazardous chemicals policy Q&A |
AIPROXY_API_TOKEN | Fill in the key generated as required by the service provider | Ensure identity verification and permission control for model calls |
Three Common Configuration Mistakes
- Phenomenon: A large number of irrelevant policy clauses appear in retrieval results, with abnormally high similarity scores. Cause: No reasonable similarity filtering rules are configured, or the embedding model is not adapted for policy text.
- Phenomenon: Unable to find the edit entry for model response content. Cause: This function in FastGPT v4.17.0 community edition must be configured via workflow nodes, and the workflow module is not enabled correctly.
- Phenomenon: Timeout error occurs when calling the model. Cause:
maxContextis configured too high, causing model context processing time to exceed interface timeout limits.
How to Confirm Proper Configuration
- Initiate a query targeting specific hazardous chemicals storage and transportation policies, verify that quoted policy clauses in returned results match the original text.
- Check that the number of retrieval results matches the configured recall rules, confirm no excessive irrelevant results are present.
- Trigger a knowledge base update operation, verify that newly uploaded policy files can be normally recalled.
- Adjust the
temperatureparameter, compare the rigor of two responses, confirm the parameter's impact on response style meets expectations.
The values listed above are common starting points, and should be evaluated against the reader's own specific 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.