Document Parsing and Chunking for Baijiu Marketing Content

Main sources of baijiu marketing-related documents include internal brand product manuals, dealer training slides, marketing campaign plans, as well

What Data for This Category Looks Like

Main sources of baijiu marketing-related documents include internal brand product manuals, dealer training slides, marketing campaign plans, as well as public social media recommendation posts and industry analysis reports. Document updates align with new product launches and quarterly marketing cycles. The update frequency of standard marketing materials shifts with campaign cycles. Most document structures include product specifications, campaign rules, and channel policies. Documents often embed product posters, live stream screenshots, promotional detail tables, and other content. Some data sources come from Yuque public pages, Feishu multi-dimensional documents, or local Excel files.

What Constraints Do These Characteristics Impose on the Document Parsing and Chunking Process

The multi-source nature, embedded multimedia and structured table characteristics of baijiu marketing documents impose multiple constraints on the parsing and chunking process. First, data sources cover local files, Yuque public pages, Feishu multi-dimensional documents and Excel tables. Adapting parsing protocols for different formats is required to correctly read unstructured text and structured tables. Second, documents contain large numbers of images such as product posters and live stream screenshots. Supporting image text extraction and associated indexing prevents loss of visual information. Third, documents include fixed-format product specifications and dynamically changing campaign rules. Retaining field relevance during chunking is necessary. Splitting parameters and campaign content into different chunks reduces the accuracy of subsequent retrieval matching.

How to Set the Configurations

Configuration ItemRecommended SettingRationale
PARSE_ENABLE_OCREnabledBaijiu marketing documents contain many embedded images such as product posters and live stream screenshots. Text from images must be extracted to complete complete indexing
PARSE_TABLE_EXTRACT_MODEStructured extractionDocuments include table content such as promotional policies and channel data. Structured extraction retains the relevance of table fields, avoiding fragmentation of table information after chunking
CHUNK_SIZE800–1200 charactersBaijiu marketing documents often combine long-text campaign plans and product specifications. This range balances the integrity of information in a single chunk and retrieval accuracy, avoiding splitting across topics
CHUNK_OVERLAP_RATE10%–15%Product specifications and campaign rules in documents often have contextual relevance. The overlap rate ensures key information is not truncated during chunking
PARSE_ALLOWED_DOMAINSAdd official Yuque domain names and Feishu enterprise domain namesMost data sources come from Yuque public pages and Feishu multi-dimensional documents. Restricting accessible domains improves parsing security and success rate
PARSE_FILE_MAX_SIZE500 MBPackaged documents for large marketing campaigns often exceed standard file size thresholds. This value covers most business scenarios

The parameter values provided on this page are common recommended starting points for determining configuration baselines. Actual values are affected by material form, data volume and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Phenomenon: When using a Yuque public share link as a knowledge base data source, parsing fails and returns a 403 status code. Reason: The PARSE_ALLOWED_DOMAINS configuration item has not been set to add the official Yuque domain name, or the share link has not been granted public access permissions.
  • Phenomenon: After parsing the document, the text content of embedded images is not included in the index. Reason: The PARSE_ENABLE_OCR configuration item is not enabled, so text information in images is not extracted.
  • Phenomenon: When calling a custom HTTP tool, parameter parsing works normally but the request is not executed. Reason: The request timeout setting in the tool configuration is unreasonable, or the target request domain name is not added to the system's allowed access list.

How to Confirm Configurations Are Properly Set

  • Upload a baijiu marketing document that includes product posters and activity tables. Check if the parsed text includes product information from images and table field content.
  • Import a Yuque public share link and a Feishu multi-dimensional document. Confirm that the parsing task status shows "Completed" with no error logs.
  • Test calling the custom HTTP tool. Pass preset parameters and check the tool execution log to confirm the request is triggered normally.
  • When searching the knowledge base, enter keywords such as product flavor type and activity time. Confirm that the search results include complete content of the corresponding fields.

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.