What this type of data looks like
Cement industry data sources include public monthly reports from building materials industry associations, regular financial reports of listed building materials enterprises, and real-time regional production line monitoring data. Update cycles cover daily (regional inventory, prices), quarterly (capacity layout), and annual (industry white papers). Most documents are structured tables and semi-structured analysis manuscripts. Fields include P.O. series cement grades, clinker ratio parameters, unit energy consumption, and others. Units are standardized as yuan/ton, ten thousand tons/year, kilowatt-hours/ton, and similar units. Some regional segmented data includes administrative division code fields.
What constraints do these characteristics create for the knowledge base retrieval and recall stage
Multiple update frequency data sources lead to recall results mixing outdated and real-time data. Targeted timeliness filtering rules must be configured. A high proportion of structured fields and strict unit standardization requirements mean field-level precise matching must be supported. This avoids unit mismatch errors caused by full-text retrieval alone. A large share of regional segmented data requires support for targeted recall based on administrative division codes and regional names, to narrow the retrieval scope. Semi-structured analysis manuscripts have tight paragraph connections. Document splitting must retain field context to prevent fragmented retrieval results.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 10-15 entries | Cement data covers multiple regions and dimensions. Too many recall entries increase context processing load, too few miss professional parameters for segmented regions |
Similarity threshold | 0.72-0.85 | Cement industry has high concentration of professional terms. Too low a threshold introduces irrelevant data from other building material categories, too high a threshold misses cement parameters of similar grades |
Chunk size | 800-1200 characters | Most cement documents contain continuous capacity and price tables and regional analysis paragraphs. Too long a segment loses field connections, too short a segment fragments regional data context |
Timeliness Filter Switch | Enabled | Cement data update cycles cover daily, quarterly and annual. Filtering recall scope by data release time prevents outdated capacity data from mixing with real-time price retrieval results |
Field Matching Priority | Structured fields first | Cement data has a high proportion of structured fields. Prioritizing field matching improves accuracy, avoiding confusion between similar parameters from different regions during full-text retrieval |
Rerank result count | Top 5 entries | After re-ranking, retain the most relevant regional price and capacity data. Control context length to comply with model input limits |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.
Three common misconfigurations
- Symptom: Empty results when retrieving cement regional inventory data. Cause: No targeted recall rule for regional administrative division codes is configured, leading the retrieval scope to include invalid data from unrelated regions.
- Symptom: Retrieving P.O42.5 cement prices returns P.O52.5 price data. Cause: Structured field matching priority is not enabled, and full-text retrieval alone causes term matching errors.
- Symptom: Directly returning empty content when the knowledge base has no matching data. Cause: No custom reply rule is configured for no retrieval results, leading to unexpected output.
How to confirm proper configuration
- Upload a test document containing regional price and capacity data. Perform a retrieval with regional qualifying terms, and verify that recall results only include data from the target region.
- Upload test data with different update times. Perform retrieval and verify that recall results only include documents within the preset timeliness range.
- Trigger a retrieval request with no matching data. Verify that the returned content is the preset custom reply text.
- View retrieval logs, and verify that the field matching priority of recall results meets the configuration requirements, with structured fields matched first.
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.