What the Data for This Category Looks Like
Data for electric power marketing content originates primarily from internal marketing management systems, official policy release platforms, offline service manuals, and similar channels of electric power enterprises. Update frequency varies by business scenario: documents related to electricity price adjustments are updated in real time, quarterly marketing activity plans are released on a fixed cycle, and daily business handling guides are revised irregularly. Documents fall into three structural categories: official documents, tariff lists with dense tables, and long-text business explanations. Fields include file number, effective date, applicable region, electricity price tier, subsidy amount, and additional relevant fields. Units include yuan per kilowatt-hour, household, ten thousand yuan, and other standard units.
Constraints Imposed on Document Parsing and Chunking by These Characteristics
For official documents, header, footer, document number, and stamped areas are non-body metadata. These must be separated separately during parsing to avoid inclusion in chunked content. For tariff lists with dense tables, standard text chunking will split associated data within individual cells, breaking subsequent retrieval logic. Long-text business explanations contain continuous process descriptions; fixed-length chunking may disrupt the coherence of business logic. Metadata such as effective date and applicable region must be bound to body chunks to prevent information misalignment during retrieval.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the average length of long-text explanations and table cells in electric power marketing documents, avoiding splitting critical information |
chunk_overlap | 100–150 characters | Retains contextual association between adjacent chunks, meeting coherence requirements for business process-related documents |
parse_table_mode | Retain complete table structure | Avoids splitting associated data within tables, adapting to the dense table characteristics of tariff list documents |
extract_metadata_fields | File number, effective date, applicable region | Extracts core metadata from electric power marketing documents, binding it to body chunks |
PARSE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing time for large policy documents, preventing timeout errors triggered by oversized files |
enable_chunk_duplicate_check | Disabled | Preserves the chunk order from custom splitting, avoiding index disorder caused by the system automatically deleting duplicate chunks |
The parameter values provided on this page are common recommendations to serve 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 self-provided samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Parsing logs return
MongoError: connect ECONNREFUSED 127.0.0.1:27017, and initialization fails. Cause: MongoDB connection parameters are not configured correctly, or the database service is not started normally. - Phenomenon: After custom-split documents are stored in the knowledge base, duplicate chunks are automatically removed, and the custom index order becomes disordered. Cause: The
enable_chunk_duplicate_checkparameter is not disabled; the system enables chunk deduplication logic by default. - Phenomenon: Parsed table data is output as plain text lines, and the original row and column structure of the table cannot be retained. Cause: The
parse_table_modeconfiguration is not set to retain complete table structure, and only the basic text extraction mode is enabled.
How to Verify Proper Configuration
- Upload an electric power tariff list document containing multiple columns of tables, view the parsed chunked content, and confirm that the table is not split, cell data is complete, and the row and column structure is retained.
- Manually split a test document, upload it to the knowledge base, and view the chunk list, confirming that the chunk order matches the manual splitting result, with no automatically deleted chunks.
- Call the parsing status query API, confirming that real-time update information for three statuses (parsing in progress, ready, parsing failed) can be obtained.
- View the system parsing logs, confirming that there are no MongoDB connection errors, and parsing time does not exceed the preset
PARSE_TIMEOUT_SECONDSthreshold.
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.