What the data for this use case looks like
Research report data for large state-owned banking institutions comes primarily from headquarters research departments, provincial branch industry analysis modules, and publicly available industry interpretation documents reviewed through internal compliance processes. Update cycles cover monthly macroeconomic assessments and quarterly industry special topics. Temporary supplementary research reports are generated when regulatory policies are released. Each individual document includes a title, publishing entity, publication date, and industry classification field. The main body contains data metrics, risk warnings, and business recommendations. Field units include percentages, hundreds of millions of yuan, percentage points, and similar units.
What constraints these characteristics impose on vector models and indexing
Differences in multi-source data formats require indexes to support cross-format text normalization to avoid vector encoding inconsistencies. Mixed update cycles of monthly and temporary reports require index configuration of incremental update triggers to reduce resource consumption from full index rebuilds. Documents include structured metrics and classification fields, so vector models must support joint encoding of unstructured text and structured fields. Indexes must include built-in field-level filtering rules to meet targeted business retrieval needs. Wide variation in individual document length requires configured adaptive chunking rules to avoid semantic fragmentation.
Configuration Settings
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
chunk_length | 800–1200 characters | Adapts to the long text structure of large state-owned banking institution research reports, preserves semantic integrity of industry data and business recommendations |
retrieval_count | Top 8–12 results | Matches the precision requirements of research report retrieval, avoids redundant results interfering with business judgments |
similarity_threshold | 0.72–0.85 | Filters low-relevance cross-industry research reports, aligns with targeted industry retrieval scenarios for large state-owned banking institutions |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Addresses long text parsing time for individual research reports, prevents parsing interruptions |
enableFieldFilter | Enabled | Supports filtering retrieval results by industry classification and publication date fields, meets targeted internal business needs |
incrementalIndex | Trigger as needed | Adapts to mixed update cycles of monthly reports and temporary research reports, reduces resource usage from full index rebuilds |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test with your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: Retrieval results return a large number of irrelevant non-industry research reports, and field filtering does not take effect. Cause: The
enableFieldFilterconfiguration is not enabled, or the research report's industry classification field is not correctly bound to the index rules. - Issue: A
504 Gateway Timeouterror is triggered when parsing a single long research report. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration value is lower than actual parsing time, and does not adapt to the long text volume of research reports. - Issue: Retrieval results do not sync with the latest research reports after incremental update. Cause: The trigger timing for
incrementalIndexis not configured, or temporary research reports are not included in the incremental update data source scope.
How to Confirm Proper Configuration
- Upload a single test research report, and verify that the parsed chunk length matches the preset configuration.
- Submit a retrieval request that includes industry classification keywords, and confirm that retrieval results can be filtered by the specified fields.
- Upload a new temporary research report, trigger an incremental update, then perform a retrieval to confirm the latest document is included in the retrieval results.
- View system parsing and vector encoding logs, and confirm there are no timeout or encoding failure error records.
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.