Data Characteristics
Data for rural commercial bank research report retrieval primarily comes from county-level agricultural economic surveys and regional financial risk analysis documents produced by internal compliance research departments, publicly available regulatory guidance documents from subscribed regulatory agencies, and regional business review materials shared among peer institutions. Update cycles follow monthly special surveys and quarterly comprehensive research reports, alongside real-time updates for temporary regulatory policy documents. Most documents are in PDF format with fixed headers, containing fields such as regulatory document numbers, agricultural-related loans, and county-level operational data. Units include ten thousand yuan, percentage points, and number of served households, among others. Some documents embed regional economic statistical tables and scanned handwritten annotations.
Constraints on Document Parsing and Chunking
These document characteristics impose specific constraints on the parsing and chunking process: First, documents with embedded regional economic tables and scanned annotations require enabling OCR text extraction and image retrieval configurations to avoid losing table data and handwritten annotation content. Second, documents with fixed headers introduce redundant repeated content such as regulatory document numbers and institution codes. Prefix filtering rules must be configured to remove non-business information. Third, fields such as agricultural-related loans and county-level operational data are paired with diverse units. Contextual binding between fields and units must be preserved during chunking to prevent unit mismatches during retrieval. Fourth, temporarily updated non-standard format documents may have wide layouts. Automatic page-by-page parsing must be enabled to prevent content truncation.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
ocr_enable | Enabled | Rural commercial bank research reports often contain scanned annotations and embedded regional economic tables, requiring extraction of text content from images |
PARSE_OCR_TIMEOUT | 120 seconds | A single comprehensive research report may contain multi-page tables and scanned content, requiring sufficient processing time for OCR operations |
chunk_max_length | 800–1000 characters | Agricultural-related data and regional indicators in research reports are closely linked. Excessively long chunks reduce precise matching accuracy, while excessively short chunks break contextual relevance |
chunk_overlap | 100–150 characters | Contextual continuity between fields such as agricultural-related loans and county-level operational data and their units must be preserved to avoid retrieval breaks across chunks |
filter_prefix_rules | ["regulatory document number", "Page X"] | Fixed document headers contain repeated regulatory document numbers and page number information, requiring filtering of non-business redundant content |
enable_image_retrieval | Enabled | Supports text retrieval for embedded tables and scanned annotations to match user search needs |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on sample materials specific to the deployment before finalizing settings.
Three Common Configuration Mistakes
- Symptom: Knowledge base search results do not return PDF-embedded tables or scanned annotation content. Cause: The
ocr_enableandenable_image_retrievalconfigurations are not enabled, so text and table information from images is not extracted. - Symptom: Agricultural-related loan data and units appear separated in search results, for example, only "agricultural-related loans" is retrieved without the associated "ten thousand yuan" unit. Cause: The
chunk_overlapconfiguration is not set to preserve contextual binding, and the chunking unit is mistakenly set to tokens instead of characters, leading to content split across fields. - Symptom: Repeated regulatory document numbers and page number information appear in parsed document fragments. Cause: The
filter_prefix_rulesconfiguration is not set to filter redundant content from fixed headers, resulting in non-business information being included in chunked content.
How to Confirm Correct Configuration
- Upload a sample rural commercial bank research report that includes scanned annotations and embedded tables, then check if the parsed text contains table content and annotation text to confirm OCR and image retrieval configurations are active.
- Manually extract a paragraph of agricultural-related data containing fields and units from the research report, then test whether the associated contextual chunked content is fully retrieved during search to confirm the chunk overlap configuration is appropriate.
- Review parsing task logs to confirm there are no OCR timeout errors, and that filtering rules did not mistakenly delete business-related content, to confirm timeout and filtering rule configurations match the document format.
- Upload multiple rural commercial bank research reports with different layouts, then check if parsed chunks retain the contextual relevance of regional data to confirm the chunk length configuration matches document content density.
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.