What the Data for This Category Looks Like
Data for this category originates from three main sources: official identity verification data sources, offline submitted document scans, and structured extracted fields. Official data sources update on a fixed schedule aligned with interface sync cycles. Offline submitted data updates per submission batch. Two document structure types are used. The first is structured identity information text, including fields such as name, ID number, address, issuing authority and validity period. The second is OCR transcribed text from document scans, paired with metadata from the original images. All fields follow fixed formats. For example, ID numbers use an 18-digit format plus a final check code. Validity periods use the YYYY-MM-DD to YYYY-MM-DD date format.
What Constraints These Characteristics Impose on the Retrieval and Recall Link
The unique ID number field requires precise matching during retrieval, to avoid recalling irrelevant non-ID data. Fixed-format fields require format consistency checks during retrieval, to prevent matching failures from format differences. OCR transcribed text may contain minor errors, so adjust the fuzzy matching tolerance range. Official data sources follow a fixed update schedule, so the knowledge base must sync regularly to avoid recalling expired document information. Offline submitted batch data must be stored by submission time, to enable recall sorted by update time later.
How to Configure
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall Count | Top 8–12 entries | The volume of ID-related knowledge base entries is small. Excessive recall increases context processing load |
Similarity Threshold | 0.85–0.90 | Balances the precise matching requirement for unique identifiers like ID numbers and the tolerance for OCR transcription errors |
Chunk Length | 600–1000 characters | ID-related documents are mostly combinations of structured short texts. This avoids truncating critical identity fields during chunking |
PARSE_FILE_TIMEOUT_SECONDS | 240 seconds | Parsing time for a single high-definition document scan typically does not exceed 3 minutes. This prevents timeout failures |
UPLOAD_FILE_MAX_SIZE | 8 MB | The standard file size for a single document scan does not exceed 5 MB. This leaves reasonable redundant space |
Reranked Return Count | Top 3–5 entries | Prioritizes returning the most matching results, reducing information filtering costs for end users |
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 settings.
Three Common Configuration Mistakes
- Phenomenon: Older versions of ID document verification documents appear before newer versions in retrieval results. Cause: No reverse chronological update time reranking rule configured, or weight parameters set incorrectly.
- Phenomenon: 413 Request Entity Too Large error is prompted when uploading document scans. Cause: UPLOADFILEMAX_SIZE configuration not adjusted, uploaded file size exceeds system limits.
- Phenomenon: Server memory usage is too high and retrieval requests time out at fixed daily times. Cause: Recall count and reranked return count not limited, too much knowledge base content loaded per retrieval, consuming excessive system resources.
How to Confirm Configuration Is Correct
- Upload a single high-definition document scan. Wait for parsing to complete, check if structured fields are fully populated. Confirm that the PARSEFILETIMEOUT_SECONDS timeout limit is not triggered.
- Retrieve knowledge base entries containing a known valid ID number. Check if returned results are sorted in reverse chronological update order. Confirm that the reranking rule is configured correctly.
- Upload a document scan larger than 6 MB. Check if a file size limit prompt is triggered. Confirm that the UPLOADFILEMAX_SIZE configuration is active.
- Simulate batch retrieval requests. Observe system resource usage. Confirm that recall count and reranked return count configurations do not cause resource overload.
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.