What the data for this category looks like
Marketing data for black home appliances primarily comes from official campaign documents used by financial institutions including banks, insurance companies, and wealth management platforms for home appliance customer acquisition, product specification documents from partner brands, structured product detail page documents exported from e-commerce platforms, offline promotional material PDFs, and marketing campaign plan texts. Update frequency adjusts based on financial institutions’ customer acquisition activities and new product partnerships, with no fixed cycle. Three types of document structures exist:
- Structured tables with product parameters
- Long-form marketing copy such as installment rules and event timelines
- Promotional materials with product display images
Covered fields include product parameters such as cooling capacity, volume, and energy efficiency rating, with corresponding units of watts, liters, and ratings; financial activity rules such as installment periods and cashback rates; marketing keywords; event timelines; and applicable scenarios. Some documents mix parameter and activity rule information for multiple product models.
What constraints these characteristics impose on document parsing and chunking
The presence of multiple structured parameter tables requires the parsing module to accurately identify table boundaries and retain the original structure. This avoids splitting table content that mixes home appliance parameters and financial activity rules into scattered text. Documents that mix home appliance parameters, marketing copy, and financial activity rules require chunking by content type. This prevents cross-type chunks from reducing subsequent retrieval accuracy. Some documents are in scanned format. Text must first be extracted via OCR before structured parsing can proceed. Variations exist in product parameter units, such as cooling capacity measured in watts and volume measured in liters. Fields for financial activity rules including installment periods and cashback rates must also be accurately extracted. Parsing must retain units and rule details to avoid field confusion. The irregular update frequency of marketing documents requires support for incremental parsing. This avoids reprocessing old campaign content.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Black home appliance marketing documents contain large numbers of structured product parameter tables and financial activity rule tables. Retaining table structure improves the accuracy of subsequent retrieval. |
PARSE_OCR_ENABLE | Enabled | Some marketing materials are scanned documents or image-format detail pages. OCR can extract hidden text and parameter information. |
CHUNK_SIZE | 800–1200 characters | The length of parameter blocks, copy blocks, and financial rule blocks in black home appliance marketing documents mostly falls within this range. This range avoids overly long chunks that cause context fragmentation or overly small chunks that increase retrieval costs. |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Large marketing documents containing multiple product parameters and images typically take this amount of time to parse, covering most conventional documents. |
SIMILARITY_THRESHOLD | 0.65–0.75 | Fields for black home appliance product parameters and financial activity rules have high similarity. This threshold filters low-relevance chunks while retaining accurately matched content. |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- After uploading a marketing document that contains product parameter tables, the parsed result only shows scattered text with no complete table structure. The cause is that the
PARSE_TABLE_ENABLEconfiguration is not enabled. The parsing module converts table content to plain text by default, losing the original table structure. - After calling the knowledge base creation API, status information for parsing, ready, or parsing failed cannot be retrieved. The cause is that the status return parameter is not configured in the API request, or the corresponding status reporting logic is not enabled, preventing synchronization of parsing progress.
- When parsing a document containing financial activity interface instructions, the Set-Cookie field is not extracted or retained. The cause is that the
PARSE_HTTP_HEADER_ENABLEconfiguration is not enabled. The parsing module ignores relevant fields in response headers by default, making it impossible to fully retain interface configuration information.
How to confirm configurations are correctly set
- Upload a black home appliance marketing document that contains a structured product parameter table, and check if the parsed chunked results retain the complete table structure to verify that the table parsing configuration is effective.
- Call the knowledge base creation API interface, and check if the returned content contains parsing progress-related fields to verify that the status query configuration is enabled.
- Upload a scanned black home appliance marketing material, and check if the parsed result extracts text and parameter information from the image to verify that the OCR configuration is effective.
- Upload a document containing HTTP interface instructions, and check if the parsed result contains response header related fields to verify that the HTTP header parsing configuration is correct.
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.