What the data for this category looks like
Data sources for cement financing daily reports include the national cement production capacity monitoring platform, regional building materials dealer financing ledgers, and cement-related loan records from commercial bank corporate credit systems. Full data for the previous day is updated every early morning. Some same-day real-time trading financing records are supplemented before 10:00 AM on the same day. The standard structure of each document covers six core fields: enterprise entity name, financing amount, loan date, project location, cement grade, and repayment cycle. Financing amount is measured in ten thousand yuan units. Repayment cycle is measured in natural days. Cement grade uses industry-standard notations such as P.O42.5 and P.C32.5.
What constraints do these characteristics impose on the knowledge base retrieval and recall link
Data sources are scattered and involve cross-system integration. Text cleaning must be completed for format differences across different data sources, otherwise invalid data with mixed formats will be introduced. The full daily updated data volume is large. When synchronizing incremental data, the scale of batch uploads must be reasonably controlled to avoid triggering system concurrency limits. Each data entry has clear fields but many detailed sub-dimensions. Precise matching of multiple conditions such as enterprise, region, and cement grade is required during retrieval. Standard recall strategies may not cover precise requirements. The range of financing amount values is wide. If field weights are not reasonably allocated during similarity calculation, matching of core dimensions may be weakened.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recallTopK | Top 12-15 entries | Cement financing daily reports have many fields and detailed sub-dimensions. A sufficient number of candidate sets must be recalled first before reranking to avoid missing precisely matched entries |
similarityThreshold | 0.72-0.78 | The core fields of cement financing data have high recognizability. A threshold that is too low will introduce financing data from unrelated building material categories, while a threshold that is too high will lose some approximately matched enterprise financing records |
chunkSize | 800-1000 characters | The complete information of a single cement financing daily report is approximately 600 characters. This segment length adapts to complete extraction of single data entries and avoids truncation of critical information such as amount and grade |
UPLOAD_BATCH_SIZE | 500 data entries per batch | The full daily updated data volume is moderate. Batch uploads avoid triggering system concurrency current limiting rules |
rerankTopN | Top 6-8 entries | The final output requires control of context length. Reranking retains the most matching core entries while covering retrieval requirements across different dimensions |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Batch parsing of structured data from cement financing daily reports requires a long processing time. This duration avoids timeout interruptions of the parsing process |
The parameter values provided on this page are all conventional recommendations used as 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 conduct tests on appropriate samples before finalizing the configuration.
Three Common Misconfigurations
- Symptom: AI conversation response delay exceeds 30 seconds after knowledge base retrieval, with a timeout prompt. Cause: The values of
recallTopKandrerankTopNare not set reasonably. Too much redundant data is recalled and reranked, resulting in longer-than-expected context filling time. - Symptom: Knowledge base embedding task fails, returning the
Embedding API Request Failederror. Cause: The API address and port of the locally deployed m3e-large model are not configured correctly, or corresponding network permissions are not opened, making text vectorization impossible. - Symptom: A
413 Request Entity Too Largeerror occurs when batch uploading cement financing daily reports. Cause: The value ofUPLOAD_BATCH_SIZEis not adjusted. The single upload data volume exceeds the system limit, resulting in request interception.
How to confirm the configuration is properly set
- After uploading a single cement financing daily report sample, verify that the parsed text fully retains core fields including enterprise entity, financing amount, cement grade, with no truncation or data loss.
- Enter a search term containing region and cement grade, then confirm that recall results include financing data with corresponding characteristics, and the proportion of irrelevant data aligns with business expectations.
- Run a batch upload task, then check that no timeout or connection failure errors appear in the task log, and confirm that the upload batch configuration takes effect.
- Trigger a complete retrieval-conversation flow, then verify that the response duration meets preset business requirements, with no obvious delay.
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.