What the data for this category looks like
Data sources include public statistics from the national building materials industry association, factory quality inspection archives of cement manufacturers, and regional supply chain circulation data. Single-batch factory data updates daily. Industry monthly operation data releases follow fixed cycles. Most documents are structured tables and itemized reports. Fields include production batch number, strength grade, physical performance indicators, manufacturer information, and production date. Units follow industrial measurement standards such as megapascals and square meters per kilogram. No custom non-standard fields are used.
What constraints these characteristics impose on the knowledge base retrieval and recall link
Cement data has a high proportion of structured content and many standardized physical performance indicators. This requires the retrieval link to support numerical range matching and precise field association, to avoid recalling irrelevant batch data using only text keywords. Single-batch data updates frequently, and industry data releases follow fixed cycles. This requires setting a reasonable refresh cycle for the knowledge base index, to ensure recalled data reflects the latest factory state. Most documents contain structured tables, so support for extracting and retrieving fields within tables is necessary. Otherwise, key indicator information will be lost. Multiple fields require configuring field weights during retrieval, to prioritize content related to core due diligence indicators.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Cement data includes long quality inspection reports and text split from tables. This range fully retains the contextual association of single-batch indicators and avoids truncating key numerical values. |
similarityThreshold | 0.75–0.85 | Most cement indicators are standardized numerical values. This range filters low-correlation non-indicator text while retaining similar batch data under the same strength grade. |
recallTopK | Top 8–10 entries | Due diligence reports require cross-batch comparative data. Too many recalled entries increase context length, while too few fail to cover sufficient samples. |
parseTableEnable | Enabled | A large amount of cement data stores quality inspection indicators in table format. Enabling this setting extracts fields and numerical values within tables, improving retrieval accuracy. |
indexRefreshInterval | Every 12 hours | Single-batch factory data updates daily. A 12-hour refresh balances index update costs and data freshness. |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Cement quality inspection reports are mostly multi-page structured documents. The default size limit cannot accommodate complete report content. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: An error occurs during question answering splitting, prompting "field format mismatch". Cause: Cement data contains a large number of standardized numerical fields. No parsing rules for numerical fields are configured, so the system cannot correctly identify the correspondence between indicators and numerical values during splitting.
- Phenomenon: A 503 error is prompted when uploading a single multi-page cement quality inspection report, but uploading to the knowledge base has no abnormality. Cause: The
UPLOAD_FILE_MAX_SIZEconfiguration is not adjusted. Cement quality inspection reports are mostly multi-page structured documents, so the file volume exceeds the default limit. The knowledge base batch upload does not trigger this check. - Phenomenon: Retrieval results only return document paragraph text, and do not include strength indicator data from tables. Cause: The
parseTableEnableconfiguration is not enabled. Only text content in the document is captured, and key indicator fields in tables are lost.
How to confirm the configuration is correctly set
- Upload a single cement quality inspection report, check the parsed text fragments, and confirm that indicators and numerical values in tables are fully extracted.
- Enter a query containing strength grade or specific indicators, check the similarity scores of recalled results, and confirm that the scores fall within the preset range.
- Manually trigger the knowledge base index refresh, wait for the configured refresh cycle, and verify whether newly uploaded batch data is included in the recall range.
- Test cross-batch comparative queries for multiple batches, and confirm that the number of returned results matches the preset recall count configuration.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.