What This Category's Data Looks Like
Data comes from daily business ledgers submitted by local corporate rural commercial banks, and real-time transaction records from regional financial market trading systems. The update cadence is full daily data for the previous working day, updated once per day. Documents are split using institution as the core dimension. Each single document includes fields: institution identifier, business category, transaction scale, transaction cycle, financing cost, and others. Transaction scale is measured in ten thousand yuan. Transaction cycle is measured in natural days. Financing cost is measured in basis points. All fields use structured formatting, with no free text content.
Constraints Imposed on Knowledge Base Retrieval and Recall
Multi-source data access requires initial field standardization. Unify business category and institution identifier fields across different sources to avoid field mismatches during retrieval. The daily update rhythm requires index refresh cycles to align with data update cycles. This prevents retrieval of expired previous working day data. Structured fields include numeric transaction scale and transaction cycle. Retrieval must support range filtering. Full-text fuzzy matching alone cannot deliver precise retrieval results. Fixed institution dimension fields require retrieval to support field filtering. This narrows the retrieval scope and improves retrieval efficiency.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Rural commercial bank financing daily reports contain multiple structured entries per single document, leading to long parsing times. 300 seconds covers most single-document parsing scenarios |
chunk_size | 800–1200 characters | Most fields in financing daily reports are short text or structured numerical values. This segment length avoids breaking field integrity during splitting and adapts to the document structure |
recall_top_k | Top 8 results | Most retrieval needs for financing daily reports target precise results for specific institutions and specific businesses. 8 results covers the result requirements of most business scenarios |
similarity_threshold | 0.75–0.85 | Balances recall precision and recall coverage. Prevents excessive irrelevant results if set too low, and avoids missing valid results if set too high |
rerank_top_k | Top 3 results | Financing daily report retrieval results require quick location of core data. Retaining the top 3 results after reranking meets the core needs of most scenarios |
enable_field_filter | Enabled | Financing daily reports include fixed fields such as institution and business category. Enabling field filtering accurately narrows the retrieval scope and improves retrieval efficiency |
The parameter values provided on this page are 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 the configuration.
Three Common Configuration Mistakes
- Retrieval of financing daily report data takes more than 30 seconds, with delayed return results. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, orenable_field_filteris not enabled, causing the retrieval to scan the full unfiltered document set. - After mounting two knowledge bases, the same query returns results only from one of the knowledge bases, without merging results from both. Cause: Cross-knowledge base result aggregation logic is not configured, or the merge switch for multi-knowledge base recall is not enabled.
- Expired non-current-day financing data appears in retrieval results. Cause: The index refresh cycle is not aligned with the T+1 update rhythm of financing daily reports, causing the index to not update the latest data in a timely manner.
How to Confirm Configuration Is Correct
- Upload a single rural commercial bank financing daily report document. Check that there are no field loss or truncation prompts in the parsing log, and confirm that the
chunk_sizeconfiguration adapts to the current document structure. - Initiate a retrieval request that includes institution and business category. Verify that the returned results only cover documents with matching fields, and confirm that the
enable_field_filterconfiguration is active. - Simulate a multi-knowledge base mounting scenario. Initiate a cross-knowledge base retrieval request, verify that the results merge valid entries from both knowledge bases, and confirm that the cross-knowledge base recall logic is enabled.
- Wait for a full update cycle. Initiate a retrieval request for current-day data, verify that the returned results include the latest updated financing data, and confirm that the index refresh cycle configuration matches the data update rhythm.
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.