What the data for this category looks like
Thermal financing daily report data is sourced from internal financing ledgers of thermal enterprises, public filing systems of local financial regulators, and daily credit updates from partner banks. Data updates follow a daily T+1 sync rhythm. It covers new financing and existing credit movement information for that day's thermal projects. Each daily report uses a structured table format. It includes fields such as unified social credit code of the thermal company, project name, financing amount (unit: ten thousand yuan), financing channel type, loan date, remaining credit limit, and repayment term. Each record corresponds to one single thermal special financing business, with no redundant nested fields.
Constraints imposed by these characteristics on deployment and upgrade
The daily update rhythm of thermal financing daily reports requires configuring scheduled incremental sync tasks during deployment. This prevents excessive resource usage from full index reconstruction. Structured fields include unique identifiers such as unified social credit code and ten thousand-yuan level financing amounts. Clear field mapping rules must be defined during deployment. This ensures accuracy of entity matching and amount calculation. Data sources involve mixed formats of internal ledgers and public filings. Compatibility for field differences between old and new data sources must be maintained during upgrade. This prevents missing fields during import. Financing information for thermal projects follows public utility compliance requirements. Permission check rules must be configured during deployment. This restricts access to sensitive data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Multiple structured records are included in a single thermal financing daily report. Parsing takes significant time, so sufficient time must be reserved for field extraction |
UPLOAD_FILE_MAX_SIZE | 50 MB | Structured table files for a single thermal financing daily report are typically under 20 MB. A reasonable upper limit is set to prevent large file import failures |
Incremental sync interval | 86400 seconds | Matches the daily T+1 update rhythm of thermal financing daily reports, ensuring data sync timeliness |
Recall count | Top 10 entries | Balances context information volume and retrieval efficiency. Covers relevant records required for most business queries |
Similarity threshold | 0.75 | Thermal financing businesses have clear project and entity identifiers. This threshold filters irrelevant records while retaining valid matches |
Rerank result count | Top 3 entries | Focuses on core financing information, avoiding excessive redundant results that interfere with business judgment |
The parameter values provided on this page are all common recommended 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 settings.
Three Common Mistakes
- After retrieval, the reordered result returns false. The cause is that a reasonable value for
Rerank result countis not configured, or the trigger threshold of the reranking model is set too high. This prevents valid reranking results from being generated. - Chinese garbled characters appear after importing CSV-format thermal financing daily reports. The cause is that the correct character encoding is not specified during the file upload phase, or the original file uses a non-UTF-8 encoding that has not been converted.
- After upgrading to v4.10, knowledge bases created in v4.9.14 cannot perform vector retrieval. The cause is that vector index formats differ between old and new versions. Index reconstruction or migration operations were not performed.
How to Confirm Proper Configuration
- Run a single file import test. Check that no field extraction failure errors appear in the parsing log. Confirm that the configuration adapts to the parsing requirements of the current file.
- Trigger a scheduled sync task. Check the update time and data volume in the sync log. Match the preset update rhythm.
- Initiate a simulated business query. Verify the quantity and relevance of the recalled results. Confirm that the retrieval configuration meets business scene requirements.
- Check the vector index status of the knowledge base. Confirm that the index format adapts to the current FastGPT version, with no abnormal errors.
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.