What the data for this category looks like
Intelligent due diligence report data for cultural and entertainment supplies mainly comes from supplier-submitted production ledgers, IP licensing agreements, inventory reports, product design documents, and industry monitoring materials. Update frequency varies by document type. Licensing agreements update per cooperation cycle. Production ledgers and inventory reports update monthly or weekly. Product design documents update alongside product style iterations.
Document formats include editable Word and Excel files, scanned PDF licensing files, and structured SKU list tables. Core fields include SKU code, material, licensing term, purchase unit price, and retail guide price. Units include category-specific identifiers such as piece, set, meter, and year.
What constraints do these characteristics impose on the document parsing and chunking stage
Mixed multi-format data sources require the parsing process to support extraction of both editable text and scanned images, to avoid missing content from critical scanned files such as licensing agreements. Frequently updated documents create demand for batch parsing, requiring control over per-file parsing time to prevent task queue backlogs.
Document structures that combine structured SKU lists and long-form design descriptions require chunking to preserve semantic integrity for both short entries and long paragraphs, avoiding splitting SKUs and their corresponding product descriptions into different segments. The presence of sensitive fields such as copyright numbers and licensing terms requires chunking to retain metadata binding, to facilitate subsequent retrieval and association.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the text length of cultural and entertainment supplies due diligence reports, which contain both short SKU entries and long design descriptions, to avoid semantic breaks |
split_mode | By title + semantic paragraph | Matches the structure of documents with chaptered design descriptions and standardized SKU lists, to preserve content relevance |
enable_ocr | Enabled | Processes non-editable file formats such as scanned licensing agreements and product photo documents |
PARSE_FILE_TIMEOUT_SECONDS | 600–900 seconds | Adapts to processing time for batch parsing multiple inventory Excel files and large-volume design documents |
extract_metadata | ["SKU编码", "授权期限", "版权号"] | Extracts core identifying fields for cultural and entertainment supplies due diligence reports, to facilitate subsequent retrieval and association |
UPLOAD_FILE_MAX_SIZE | 2048 MB | Compatibility with single large-volume production ledgers or annual sales report files |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- After uploading a PDF licensing document, the parsing result contains no image content. The
enable_ocrconfiguration is not enabled, so only the editable text layer is parsed, and text and visual information from scanned images are not extracted. - Search results only return text fragments, and do not associate with metadata such as SKU codes and licensing terms. The
extract_metadataconfiguration for core field extraction is not set, and metadata information is not bound during chunking. - A timeout error occurs when parsing large Excel inventory reports. The
PARSE_FILE_TIMEOUT_SECONDSconfiguration is not adjusted to a reasonable range, and the default timeout duration is insufficient for batch parsing of multiple worksheets.
How to confirm the configuration is correct
- Upload a standard cultural and entertainment supplies due diligence PDF document, check whether the parsing result contains image and scanned text content, to verify the effect of the
enable_ocrconfiguration. - Export the parsed metadata, confirm whether preset fields such as SKU codes and licensing terms are extracted, to verify the
extract_metadataconfiguration. - Upload a single large-volume Excel report, check the execution duration of the parsing task, and adjust
PARSE_FILE_TIMEOUT_SECONDSto a range that meets current business requirements. - Randomly select a segment of long text content, confirm that the chunked fragments retain complete semantic logic, to verify the
chunk_sizeandsplit_modeconfigurations.
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.