What the Data for This Category Looks Like
The policy and regulatory basis data for metal material processing mainly comes from official documents related to steel and non-ferrous metal processing released by the National Development and Reform Commission, Ministry of Industry and Information Technology, and local industrial and information departments. It also includes compliance guidelines released by industry associations and internal production compliance manuals of enterprises. The data update schedule adjusts dynamically with policy releases. It is synchronized when new policies take effect, and internal compliance manuals are reviewed every six months. Most documents are formal PDFs with chapter numbering or structured text. They include release document numbers, effective dates, applicable scenarios, specific clauses and other details. Fields include policy numbers, executing entities, and quantitative indicator units such as tons per year, mg/m³, and ten thousand yuan.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
The formal nature of policy documents requires retrieval to match precise keywords. Fuzzy matching can easily introduce irrelevant non-policy content. Document numbers, effective dates, and quantitative indicators are high-frequency query conditions for users, so field-level precise retrieval must be supported. Individual documents have long length. When chunking is performed, chapter association information must be retained to avoid taking content out of context after splitting. Data updates have no fixed cycle, so incremental update support is required to synchronize the latest policies. Quantitative units within fields are strongly bound to production parameters of metal material processing. Retrieval must retain unit context to ensure matching accuracy.
Configuration Settings
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
similarity | 0.75-0.85 | Policy documents are rigorous, so a high matching threshold is needed to filter irrelevant results |
limit | Top 8 entries | Policy documents have large single-piece information volume; too many results will exceed the context window |
searchMode | strict | Match precise keywords of policy clauses to avoid introducing irrelevant content via fuzzy matching |
usingReRank | Enabled | There are many long documents; reranking improves the sorting accuracy of relevant results |
datasetSearchUsingExtensionQuery | Disabled | Policy queries mostly use precise keywords; extended queries can easily introduce non-policy content |
collectionIds | Bind the dedicated collection ID for metal material processing policies | Avoid mixing documents from other categories to interfere with retrieval results |
Three Common Misconfigurations
- No document name list displayed in the front end after retrieval results are returned: Document metadata extraction is not configured, and the document name field is not exposed to the front-end calling interface.
- Reference variables show as empty after selecting a knowledge base: Metadata indexing for the dataset is not enabled, or the corresponding metal material processing policy document collection is not bound via
collectionIds. - Number of retrieval results does not match the set
limit: Retrieval from irrelevant collections is not disabled, or thesimilaritythreshold is set too high, filtering eligible policy documents.
How to Confirm Proper Configuration
- Call the retrieval interface, and check whether the returned results include correct metadata fields such as document names and policy document numbers.
- Enter the knowledge base configuration interface of FastGPT v4.17.0, select the bound metal material processing policy collection, and check whether reference variables can be selected normally.
- Adjust the
similaritythreshold, and observe whether the number of retrieval results changes as expected. A higher threshold results in fewer results. - After enabling
usingReRank, submit a query containing policy keywords, and check whether the result sorting is more aligned with policy query requirements.
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.