What This Category of Data Looks Like
The policy and regulatory basis data for non-ferrous metal smelting comes from public policy documents, mandatory industry standards, and regulatory rules released by national and local departments of industry and information technology, ecological environment, and emergency management. Updates are made when new policies are released, with no fixed cycle. Most documents are multi-chapter texts, containing fields such as policy document number, issuing authority, effective date, applicable smelting sub-segments, compliance requirements, and penalties. Some files include quantitative indicators and operation process descriptions. Text lengths vary widely, ranging from hundreds-word special notices to tens of thousands-word industry development plans.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
Policy documents are categorized by applicable smelting segment. Some include specific numerical requirements. Retrieval must filter accurately by segment to avoid returning irrelevant electrolytic aluminum policies for copper smelting scenarios. No fixed update cycle requires the knowledge base to support on-demand synchronization or periodic full updates, to ensure recalled content matches current policies. Multi-chapter structure means chunking long documents must retain chapter associations, to avoid losing context connections after splitting and reducing retrieval relevance. Some files contain regulatory penalty clauses. Retrieval must link these clauses to corresponding compliance requirements, to ensure complete Q&A content. Chunk length for long documents must align with the integrity of policy clauses, to avoid losing key compliance information in individual chunks after splitting.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches the density of technical terms in non-ferrous metal policies. A too-low threshold will introduce irrelevant policies. A too-high threshold will miss similar compliance requirements |
limit | Top 10 entries | The number of single-round recall results adapts to the chapter density of policy documents, to avoid overly long context exceeding model processing limits |
searchMode | semantic | Addresses the semantic association needs of policy texts, prioritizes semantic relevance between compliance requirements and scenarios |
usingReRank | Enabled | Performs secondary ranking on recall results, corrects deviations from single semantic matching, and highlights high-priority regulatory policies |
datasetSearchUsingExtensionQuery | Enabled | Generates extended queries based on the original question, covering compliance requirements expressed with synonyms in policy documents |
collectionIds | Specify collections by smelting segment | Filters out policy documents not for the target segment, narrows the retrieval scope and improves accuracy |
Three Common Configuration Errors
- Phenomenon: The knowledge base parsing logs report slow operation xxxxms, and the MongoDB response is normal. Cause: Policy collections are not split by smelting segment. A single collection contains too many cross-segment policy documents, leading to an overly large scan range during retrieval.
- Phenomenon: Some policy files do not generate Q&A pairs, and the original text is written directly. Cause: Chunking rules are not adjusted for the chapter structure of policy documents. Long chapters are not split correctly, leading to chunk length exceeding processing limits.
- Phenomenon: The "insufficient_quota: current group upstream load is saturated" error is returned. Cause: The number of single-round retrieval recall results is not limited, and extended query and re-ranking are enabled at the same time, leading to token consumption of a single request exceeding the quota.
How to Confirm the Configuration Is Properly Set Up
- Manually input a compliance question targeting a specific smelting segment, and verify that the recall results only include policy documents for that segment.
- Review the retrieval logs to confirm that
usingReRankanddatasetSearchUsingExtensionQueryare both triggered normally, with no error messages. - Simulate queries for policies with different effective dates, and confirm that the recall results only include already effective policy content.
- Adjust the
similaritythreshold, and verify that the relevance of the recall results changes in line with expected directions.
The values provided 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.