What the Data for This Category Looks Like
Refined petroleum product sales policy and regulatory basis data mainly comes from public government documents issued by the National Energy Administration, local commerce departments, and the State Administration for Market Regulation. Update schedules are irregular, aligned with policy revisions or new regulatory releases. Most documents follow formal official document structure, with fields including document number, issuing body, effective date, and specific management clauses. Content covers refined petroleum retail business licensing, inventory and sales specifications, price control, safety and environmental standards, and more. Units involved include liters, tons, yuan per liter, and business site area, among others.
Constraints Imposed by These Characteristics on the Vector Model and Index Link
The characteristics of refined petroleum policy documents impose multiple constraints on the vector model and index link. Long clause structures require avoiding splitting policy logic, so clear requirements are set for chunk length and overlap ratio. Documents include metadata such as document number, effective date, and issuing region, so indexes must store these fields to support accurate traceability and filtering. Update frequency is irregular, so flexible incremental index triggering mechanisms are needed to avoid data lag. Policy texts have high precision requirements, so vector matching accuracy must be ensured to prevent irrelevant clauses from being retrieved.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the long clause structure of refined petroleum policy documents, avoiding splitting policy logic within a single chunk |
| Overlap Length | 100–150 characters | Retains contextual association between adjacent chunks, preventing loss of cross-clause policy information |
| Similarity Threshold | 0.75–0.85 | Distinguishes precise matching from approximate matching for policy clauses, adapting to the precision requirements of policy texts |
| Single Search Limit | Top 8 results | Covers the quantity of core policy clauses, avoiding redundant results interfering with Q&A accuracy |
defaultToken | 4096 | Adapts to the long context requirements of policy Q&A, ensuring complete reference to policy clause content |
| Maximum Context | 12000 characters | Accommodates multiple matching policy clauses, supporting complete responses based on regulatory basis |
Three Common Mistakes
- Phenomenon: Index construction tasks frequently trigger timeout errors. Cause: The long clause characteristics of refined petroleum policy documents are not adapted, and chunk length is set beyond the system's single processing limit, resulting in excessive task execution duration.
- Phenomenon: Search results include non-target regional refined petroleum policy clauses. Cause: Metadata filtering rules for issuing region and effective date are not added to the index configuration, leading to incorrect retrieval of cross-regional policy content.
- Phenomenon: Imported policy documents fail to correctly extract document numbers and issuing units. Cause: Text preprocessing logic for official document formats is not configured, resulting in missing core metadata fields and preventing accurate policy traceability Q&A.
How to Confirm Proper Configuration
- Upload a single typical refined petroleum policy document, run the index construction task, and check that there are no timeout errors in the task log and chunk processing records are normal.
- Enter a policy query containing specific region and oil product type, verify that the issuing region and effective date of the retrieved results match the query conditions.
- View the index metadata list, confirm that fields such as document number and issuing unit have been correctly extracted and stored.
- Test long-context Q&A scenarios, confirm that the system can fully reference multiple matching policy clause contents.
The values provided 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.