What the data for this category looks like
Insurance intelligent due diligence data mainly comes from official insurance contract terms, application forms, underwriting rule manuals, regulatory public documents, and historical claim archives. Update cycles vary by source: contract terms are generated during the application process, underwriting rules are updated quarterly, and regulatory files are synced in real time with policy changes.
Document structure includes structured fields and long text passages. Structured fields include applicant age, coverage amount, premium, and deductible ratio. Long text passages cover liability exclusions and claim process descriptions. Some files include tabular content such as rate tables and health disclosure lists. Fields often use professional terminology, with units including yuan, percentage, year, and others. Common upload formats are PDF, DOCX, and TXT.
What constraints these characteristics impose on knowledge base retrieval and recall
The multiple sources and varying update cycles of insurance due diligence data require the knowledge base to support regular synchronization of the latest regulatory rules and underwriting manuals, to avoid recalling outdated content. The high proportion of structured fields and professional terminology requires precise semantic matching during retrieval, to avoid generic recall of irrelevant content.
Large shares of long text clauses and tabular documents require balancing semantic completeness and context window usage during segmentation. Too-short segments will break clause logic, while too-long segments will exceed model context window limits. Nested document structures require associating attached content during recall, to avoid missing key constraint information.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 800–1200 characters | Insurance clauses are long and semantically coherent; too short a segment breaks clause logic, too long exceeds model context window limits |
recall_count | Top 6–10 results | Insurance due diligence requires covering multi-dimensional rules and clauses; too few results risk missing key constraint information |
similarity_threshold | 0.75–0.85 | Insurance terminology is highly professional; a high matching threshold is needed to prevent irrelevant content from being included in retrieval results |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Parsing large insurance contract PDFs takes significant time; this avoids task failure due to parsing timeout |
UPLOAD_FILE_MAX_SIZE | 500–1000 MB | Insurance due diligence may involve uploading multiple bundled contracts; this accommodates total size requirements for batch files |
rerank_return_count | Top 3–5 results | Prioritize returning the most relevant core clauses to avoid redundant results that slow down due diligence efficiency |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific cases require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: No parsing completion prompt appears after uploading a PDF, and search test results are empty. Cause: The
PARSE_AUTO_SYNCswitch is not enabled, or parsing timed out before completion, so the knowledge base failed to generate a valid vector database. - Phenomenon: When calling the knowledge base for answers, no corresponding content is cited, and content is altered. Cause: The
similarity_thresholdis set too low, resulting in recall of generic content not from the knowledge base, or the mandatory knowledge base citation configuration is not enabled. - Phenomenon: Changes to segment word count do not take effect. Cause: Modifications to the
segment_lengthconfiguration item were not saved, or an outdated parsing template was used.
How to confirm configurations are set correctly
- Upload a single insurance contract PDF under 100 MB, check that the parsing status in the task queue shows "Completed", and the number of parsed text blocks is displayed in the file list.
- Enter the search test interface, input professional questions related to insurance due diligence, and verify that the returned results include structured fields and text content from the corresponding clauses.
- Adjust the
similarity_thresholdto 0.8, test the matching degree of search results, and confirm that no irrelevant non-insurance due diligence content is included. - Check the current value of
segment_lengthin the knowledge base configuration panel, and confirm that it matches the preset configuration.
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.