What the data for this category looks like
The data sources relied on for coal chemical industry document and material drafting include process technical specifications of coal chemical plants, material balance ledgers, safety operation specifications, project feasibility study reports, daily operation and maintenance records, and compliance approval documents. Document types cover three categories: structured tables, long-text specifications, and operation manuals with attached drawings. Structured tables mostly include fields such as material ratios, energy consumption parameters, and equipment numbers, with units involving industrial standard units such as tons, cubic meters, and kilojoules. Process documents are updated annually or after major technological renovations. Operation ledgers are updated in real time along with equipment operating status. Some confidential compliance documents are only updated at approval nodes.
What constraints these characteristics impose on knowledge base retrieval and recall
Coal chemical industry data has a high proportion of structured tables. Ordinary text chunking loses the row and column association information of tables, so targeted table splitting and associated recall processing are required. Long-text process specifications often span thousands of characters. Chunk length must adapt to long text context coherence to avoid destroying process logic integrity after chunking. Material parameters include clear units. Retrieval must match unit-related keywords to improve recall accuracy and avoid confusing parameters with different units. Real-time operation ledgers are updated frequently. The knowledge base synchronization cycle must adapt to the update rhythm to avoid recalling outdated data. Operation manuals with attached drawings require extracting process descriptions embedded in images. Without this step, the operation requirements corresponding to images and text cannot be associated.
How to set configurations
Under FastGPT v4.17.0, the following configuration items meet the retrieval and recall needs of coal chemical industry scenarios:
| Configuration Item | Recommended Value | Basis for This Setting |
|---|---|---|
| Similarity threshold | 0.75–0.85 | Match the precision requirements of coal chemical industry process parameters, avoid recalling irrelevant general chemical documents |
| Single search limit | Top 8 entries | Cover the range of reference documents required for a single coal chemical industry document, avoid context overload |
| Search mode | Hybrid retrieval | Balance the recall effects of structured tables and long-text specifications, adapt to the mixed structure of coal chemical industry documents |
| Reranking switch | Enabled | Optimize the sorting of initial recall results, correct deviations from keyword matching, and improve the priority of professional content |
| Query optimization | Enabled | Optimize retrieval queries for coal chemical industry professional terms, improve the recall relevance of professional content |
| Designated knowledge base collection | Bind coal chemical industry-specific dataset | Isolate general chemical data from coal chemical industry-specific documents, avoid interference from cross-category data |
Three common mistakes
- Phenomenon: After uploading a coal chemical industry material balance Excel table, the material ratio parameters in the table cannot be recalled during retrieval. Reason: Structured data parsing configuration is not enabled, and chunking is performed directly as ordinary long text, losing the row and column association information of the table.
- Phenomenon: A large number of general chemical documents are mixed in the retrieval results, and coal chemical industry-specific process content is not hit. Reason: The
collectionIdsparameter is not used to specify the coal chemical industry-specific knowledge base collection, and redundant cross-category data is recalled. - Phenomenon: The number of first retrieval results after configuration is much lower than expected. Reason: The similarity threshold is set too high, filtering out some relevant coal chemical industry documents with slightly lower keyword matching degrees.
How to confirm the configuration is correct
- Upload a coal chemical industry process specification document, initiate a retrieval for "material ratio of a certain coal chemical plant", and check whether the returned results include the corresponding content of this document.
- Check the knowledge base collection binding status, confirm that only coal chemical industry-specific process, operation and maintenance, and compliance documents are included, with no data from unrelated categories.
- Initiate a retrieval request with a structured table, and check whether the returned results include the parameter information in the table.
- Adjust the similarity threshold and initiate two retrievals, compare the changes in the number of results, and confirm that the threshold configuration takes effect.
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.