What the data for this category looks like
Data sources include coal chemical project filing declaration documents, environmental impact assessment reports, safety supervision files, capacity verification application materials, and daily law enforcement archive files. Update frequency is real-time as projects progress, with daily files archived in batches monthly. Most documents are a mix of structured and semi-structured formats, containing fixed fields such as project number, enterprise entity name, declaration date, approval node, and approval document number. They include numerical items related to capacity, investment, emission indicators, with units such as ten thousand tons per year, ten thousand yuan, cubic meters per hour, and others. The length of individual documents varies significantly, ranging from a few pages of rectification notices to dozens of pages of special evaluation reports.
What constraints these characteristics impose on knowledge base retrieval and recall
Coal chemical industry declaration and review files have a high proportion of structured fields, and include numerical items with units. Retrieval must balance semantic matching and precise field matching to avoid mixing irrelevant results. The length of individual documents varies greatly, so chunk processing must retain field association information to prevent structured data from being broken. Update frequency fluctuates with project stages, so flexible switching between incremental updates and batch archive updates must be supported. Additionally, some materials involve industry-specific indicators, so retrieval must match unit consistency to avoid recall errors caused by unit differences.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Coal chemical industry declaration materials involve specialized terminology and require precise matching. A threshold that is too low will introduce irrelevant files, while a threshold that is too high will miss valid matching items. This interval is calibrated based on actual testing. |
limit | Top 8–12 results | Single file review requires associating multiple related materials. Too many results will exceed the context window, while too few will fail to cover all relevant information. Adjust based on actual project testing. |
searchMode | semantic + keyword | Balance semantic association of declaration materials and precise matching of structured fields, covering specialized retrieval needs such as project numbers and approval document numbers. |
usingReRank | Enabled | Coal chemical industry terminology is highly specialized. Basic recall results must be filtered through reranking to improve result relevance. |
datasetSearchUsingExtensionQuery | Enabled | Declaration materials often contain specialized abbreviations and industry terms. Enabling query optimization can supplement synonym expansion to improve recall coverage. |
collectionIds | Bind dedicated collections by business scenario | Declaration materials and files belong to different business collections, avoiding cross-scenario recall of irrelevant data and ensuring retrieval accuracy. |
Three Common Misconfigurations
- Phenomenon: Knowledge base retrieval takes more than 10 seconds, with no obvious optimization when retrieving a single declaration document. Cause: No optimization of chunking strategy for long documents, or the
limitsetting is too high, leading to a large number of redundant results entering the reranking stage. - Phenomenon: Recalled file materials are irrelevant to the coal chemical industry declaration scenario, with a large number of general coal documents appearing, or the large language model fails to organize and output valid content. Cause: No dedicated
collectionIdsbound, orsearchModeonly uses semantic mode without adding keyword matching to filter specialized fields, andusingReRankis not enabled to filter redundant results. - Phenomenon: Upload failure is prompted when uploading coal chemical industry declaration files, regardless of single or multiple files. Cause: No check of the storage quota of the knowledge base collection, or no parsing rules configured for the corresponding format, leading to failed normal upload of OFD, PDF and other archive files.
How to Confirm the Configuration Is Properly Set
- Upload a single coal chemical project filing document, perform retrieval, and check whether the recalled results include relevant materials from the same business scenario, with no cross-scenario irrelevant content.
- Adjust retrieval parameters, perform multiple tests, and confirm that retrieval time meets business response requirements, with no obvious timeouts.
- Upload multiple archive files in different formats, confirm that the upload process has no errors, and the parsed structured fields can be retrieved normally.
- Trigger a retrieval request with no matching content, confirm that the large language model does not generate irrelevant answers, or returns preset results as configured.
All listed configuration values are common starting points, and should be evaluated against the reader's own specific samples and business requirements.
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.