What This Category of Data Looks Like
Trading rule data primarily comes from official business announcements of financial institutions, rule documents exported from core business systems, and compliance documents published by regulatory authorities. Update frequency varies irregularly with regulatory policy adjustments and business process iterations, with no fixed cycle. Documents usually use a multi-chapter structure, including clause numbers, applicable scenarios, operating procedures, and exception notes. Core content is mostly presented in multi-column tables. Fields included are transaction codes, fee rates, effective dates, and applicable customer groups. Units include percentages, hours/minutes, yuan/ten thousand yuan, and similar units.
Constraints on Document Parsing and Chunking
The multi-chapter and multi-column table characteristics of trading rules require parsing processes to preserve column-row correspondence, to avoid misalignment of table content. The irregular update feature requires chunking to retain complete contextual associations, to avoid breaking the binding between effective dates and corresponding rules. Differences in document formats across sources require parsing processes to support common formats such as PDF and Word, while filtering meaningless formatting auxiliary content. The structural hierarchy of long documents requires chunking to split content by chapter hierarchy, to avoid logical confusion across chapters.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 800–1200 characters | A single trading rule clause contains complete effective conditions and operating procedures. This setting avoids splitting core associated information |
segment_overlap | 100–150 characters | Retains contextual associations between adjacent clauses, to avoid logical breaks when querying across clauses |
PARSE_TABLE_MULTICOLUMN | Enabled | Trading rule documents mostly contain multi-column fee tables and transaction time tables. This setting preserves the correspondence between columns and rows |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Long trading rule documents contain multiple tables. This setting reserves sufficient parsing time |
ENABLE_PARSE_IMAGE | Disabled | Images in trading rule documents are mostly formatting decorations, with no core rule text. This reduces invalid storage |
recall_count | Top 5–7 results | Trading rule queries usually require associating 1-2 adjacent clauses. This setting appropriately covers associated information |
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. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Symptom: Misaligned columns in parsed multi-column tables, or cell content lost across columns. Cause: The
PARSE_TABLE_MULTICOLUMNconfiguration was not enabled, and the multi-column layout of trading rule documents was not adapted. - Symptom: Knowledge base recall results fail to associate effective dates with corresponding trading rules. Cause: The segment length was set too small, splitting the binding between effective dates and corresponding clause content.
- Symptom: A large number of meaningless image text entries appear in parsed results, occupying knowledge base storage space. Cause: The
ENABLE_PARSE_IMAGEconfiguration was not disabled, and formatting auxiliary images in trading rule documents were mistakenly identified as core content.
How to Verify Correct Configuration
- Upload a trading rule test document containing multi-column tables, check whether the parsed tables have normal column alignment, and confirm that the multi-column table parsing configuration is enabled.
- Select a paragraph containing effective dates and corresponding rules, check whether the chunking results retain complete associated content, and confirm that the segment parameters are set appropriately.
- View the knowledge base parsing logs, confirm that no image-related parsing entries are generated, and confirm that the image parsing configuration is correct.
- Initiate a simulated query, verify whether the recall results cover adjacent associated clauses, and confirm that the recall count parameter adapts to business requirements.
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.