What the data for this category looks like
Policy and regulatory basis data for commodity trading comes from official documents released by national regulatory authorities and industry oversight bodies such as the National Development and Reform Commission, Ministry of Commerce, and General Administration of Customs. Updates follow the pace of policy releases, with no fixed cycle. Most documents are structured, clause-based texts, containing fields such as policy number, issuing body, effective date, applicable categories, trading requirements, and regulatory procedures. Some supporting documents include quantitative trading parameters, measured in tons and ten thousand yuan.
What constraints do these characteristics impose on knowledge base retrieval and recall
Official document sources require retrieval to prioritize recalling documents with authoritative issuing bodies, and avoid including non-official interpretive content. No fixed update cycle requires the knowledge base to sync the latest policies regularly, to prevent recalling outdated or invalid clauses. The structured, clause-based document structure requires splitting content by independent clauses, to avoid damaging the integrity of policy context. Fields with quantitative trading parameters require retrieval to match query keywords with corresponding units, to improve recall accuracy. The effective date field supports filtering retrieval results by current valid time, to narrow the scope of invalid recalls.
How to configure the system
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Meets the rigor requirements for commodity trading policies, and avoids recalling irrelevant general policy texts |
limit | Top 8 results | Covers the multi-clause association needs of commodity trading policies, while controlling context length |
searchMode | Exact Match | Adapts to the structured characteristics of policy clauses, and prioritizes recalling documents that fully match keywords |
usingReRank | Enabled | Sorts recall results by the weight of issuing body and effective date, to improve the priority of authoritative policies |
datasetSearchUsingExtensionQuery | Enabled | Adds synonymous expansion of commodity industry terminology, such as matching "commodity" with "bulk materials" and "commodity trading" |
collectionIds | Bind the collection ID of the exclusive policy library | Limits the retrieval scope to the state-owned enterprise and public institution exclusive policy knowledge base for commodity trading, and avoids mixing irrelevant data |
Reference only; verify against the target FastGPT release and deployment documentation.
Three common configuration mistakes
- Phenomenon: Retrieval results are displayed directly on the interface, and subsequent AI-generated content repeats these results. Cause: The direct display switch for retrieval results is not turned off, causing duplicate content between retrieved recall content and AI-generated reference content.
- Phenomenon: Recalled policy documents are not sorted by effective date, and outdated or invalid policy content appears. Cause: The re-ranking function is not enabled, or the re-ranking weight is not configured to prioritize currently valid policy clauses.
- Phenomenon: Retrieval results do not hit the top-ranked target policy document. Cause: The similarity threshold is set incorrectly, or the
datasetSearchUsingExtensionQueryfunction is not enabled, leading to deviations in keyword matching.
How to confirm the configuration is correct
- Upload a test commodity trading policy document, initiate a query containing policy keywords, and check whether the retrieved results include this document.
- View the retrieval result list, confirm that the number of results matches the configured
limitvalue. - Check the interface display of retrieval results, confirm that recalled content is not displayed directly, and only appears as reference content in AI responses.
- Compare retrieval results under different search modes, confirm that exact match mode prioritizes recalling policy documents that fully match keywords.
The values provided here 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.