What the data for this category looks like
Organizations including the Ministry of Transport, the State-owned Assets Supervision and Administration Commission, and local commerce departments release official announcements and supporting industry regulations. These form the primary source of policy and regulatory basis data for the warehousing and logistics sector. Updates trigger alongside official policy releases. Regional local regulations receive supplementary updates every quarter. Each document includes these elements: policy number, issuing authority, effective date, applicable warehousing scenarios (ambient temperature, cold chain, hazardous goods), specific operating specifications, compliance requirements, and official interpretations. Fields cover policy ID, applicable region, operating duration threshold, warehousing area standards, and more. Common units are square meters, tons, and hours.
What constraints do these characteristics impose on knowledge base retrieval and recall
These data traits impose clear constraints on the knowledge base retrieval and recall process. Structured policy fields such as document number and effective date require retrieval to support precise filtering. This prevents recalling expired or inapplicable policies. Exclusive policies for different warehousing scenarios need matching via scenario tags. Long document sections must be chunked while retaining full semantic integrity. This avoids breaking clause logic during splitting. Frequently updated policies require a knowledge base sync cycle of no more than 7 days. This ensures the timeliness of recalled content. Documents mixing structured IDs and free text need to balance the accuracy of vector retrieval and keyword retrieval.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.72–0.80 | Warehousing policy clauses are rigorous. A high similarity threshold filters irrelevant policies and avoids content with semantic deviation |
limit | Top 8 entries | Individual policy documents have long length. Limiting returned entries controls context window usage and prevents content truncation |
usingReRank | Enabled | Policy documents generally have high similarity. Reranking further filters clauses with higher semantic matching and improves answer accuracy |
datasetSearchUsingExtensionQuery | Enabled | Policy questions often include regional and warehousing type restrictions. Extended queries match more precise policy clauses |
searchMode | vector+keyword hybrid mode | Policy documents include structured document numbers and free text clauses. Hybrid retrieval balances precise recall and keyword matching |
Three Common Configuration Mistakes
- Symptom: Reranking results return false. Cause: The reranking model is not enabled in the FastGPT v4.17.0 knowledge base configuration, or the reranking model is not bound to the current policy knowledge base dataset.
- Symptom: The reference variable list of the knowledge base search node is blank. Cause: A text array variable storing the knowledge base ID is not defined in global variables, or the variable configuration is not made available to the current workflow.
- Symptom: Expired policy clauses appear in retrieval results. Cause: Filter rules based on effective date and invalid document numbers are not configured, and the invalid status of policies in the knowledge base is not synchronized regularly.
How to Confirm Proper Configuration
- Input policy-related questions that include specific regions and warehousing types. Check if retrieval results match policy clauses for the corresponding region and scenario.
- View workflow node logs. Confirm the
usingReRankparameter is enabled, and reranking model results are sorted by semantic relevance. - Try specifying the knowledge base via a preset dynamic variable. Confirm the corresponding knowledge base ID variable appears in the reference variable list.
- Input the document number of an invalidated policy. Check that the policy is not recalled in retrieval results if invalidation filtering rules are configured.
The values provided here 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.