What the data for this category looks like
Auto service financing daily report data comes from partner dealers’ daily financing ledgers, partner financial institutions’ loan receipts, and vehicle registration filing systems. A single document is generated on a daily T+1 update cycle. Most documents use XLSX or structured CSV format. Each single document typically contains tens to hundreds of business entries. Core fields include dealer entity name, vehicle identification number (VIN), financing amount (unit: ten thousand yuan), loan date, repayment period, guarantee type, overdue status tag, and no additional nested formatting.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
Structured multi-field data requires retrieval to support precise matching by specified fields, to prevent irrelevant business entries from appearing in results. The daily update cycle requires the knowledge base index to use a scheduled synchronization mechanism, to ensure retrieval results align with the latest business data. Documents with multiple entries and unique identifiers (such as VIN) require recall to prioritize matching business primary keys, while limiting the number of entries recalled per batch to avoid result overload. Amounts with fixed units require retrieval to automatically associate unit semantics, to prevent matching failures caused by unit ambiguity.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Auto service financing daily reports are mostly multi-sheet XLSX documents with long parsing times. 300 seconds covers parsing for most documents with under 100,000 rows per single document |
maxChunkSize | 800–1200 characters | A single financing business entry is approximately 100–200 characters long. Chunk length matches business units to avoid splitting across business entries, while controlling single-chunk text length to adapt to retrieval accuracy |
RECALL_TOP_N | Top 10 entries | Daily reports have a large number of entries. Too many recalled entries leads to redundant context. 10 entries covers relevant results for most business queries |
SIMILARITY_THRESHOLD | 0.75–0.85 | Business fields require precise matching. A threshold that is too low includes irrelevant entries, while a threshold that is too high may miss valid business records with slightly lower matching scores |
INDEX_UPDATE_INTERVAL | 1440 minutes | Matches the daily T+1 update frequency. Synchronizing once per day covers the latest daily business data |
UPLOAD_FILE_MAX_SIZE | 100 MB | A single financing daily report after bulk export is usually no more than 50 MB. Reserving sufficient space supports bulk upload of multiple documents |
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, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Mistakes
- Phenomenon: Knowledge base retrieval takes more than 5 seconds, and logs return a
504 Gateway Timeouterror. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, or structured parsing is not enabled for XLSX documents, resulting in excessively long single-document parsing time. - Phenomenon: After importing an XLSX-format financing daily report, some fields (such as VIN, financing amount) show null values or formatting errors. Cause: The table structured parsing switch is not enabled, or the valid sheet range is not specified, resulting in parsing skipping hidden sheets or non-business columns.
- Phenomenon: After upgrading to version 4.8.20, knowledge base retrieval response time increases significantly. Cause: The synchronization frequency is not adjusted for the new version’s
INDEX_UPDATE_INTERVALparameter, resulting in oversized index files and increased loading time during retrieval.
How to Verify Correct Configuration
- Upload a single standard auto service financing daily report XLSX document, check that parsed text chunks fully include all fields of a single financing business entry, with no cross-entry splitting or missing fields.
- Initiate a retrieval for a specific dealer name, VIN, or loan date, verify that the field matching degree and number of recalled entries in returned results match the preset configuration.
- View the knowledge base index update log, confirm that incremental synchronization automatically triggers during the daily T+1 period, with no duplicate or missing business entries.
- Simulate daily business retrieval requests, check that response time meets business expectations, and adjust relevant parameters based on actual time consumption.
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.