What the data for this category looks like
Textile manufacturing research report data primarily comes from brokerage industry research reports, public documents from textile and apparel industry associations, and public supply chain upstream and downstream survey data. Regular research reports are released quarterly. Special survey research reports are released as needed. Most documents are in PDF format, with a fixed chapter structure. The structure covers overall industry overview, production capacity data for sub-segments, raw material and finished product prices, upstream and downstream linkages, and post-market analysis. Clear specifications exist for fields and units: production capacity data uses ten thousand spindles and ten thousand meters as units, raw material prices use yuan per kilogram, and revenue and profit data use ten thousand yuan. Some documents include structured tables and chart annotations.
Constraints on Document Parsing and Chunking
Textile manufacturing research reports have a high proportion of structured data, including large amounts of production capacity, price, and import and export table content. The parsing link must accurately identify the association relationship between table cells to avoid splitting tables into scattered text chunks. The document chapter structure is fixed, so chunking must follow chapter boundaries to prevent merging cross-chapter content into a single chunk, which harms logical integrity during retrieval. Research report tables for different sub-segments have varying fields, so parsing must support structured extraction of multiple fields to avoid missing key data. Additionally, a single research report may include multiple pages of charts and data blocks, so extraction of chart text annotations must be supported to ensure complete chunked content. For batch upload scenarios, the number of concurrent parsing tasks must be controlled to avoid overloading system resources.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_TABLE_ENABLED | Enabled | Textile manufacturing research reports contain a large number of structured tables for production capacity and prices. Enabling this setting preserves the association between table cells and avoids data fragmentation |
CHUNK_SIZE | 800–1200 characters | The data block length of a single chapter in textile manufacturing research reports is moderate. This range ensures each chunk contains a complete logical unit while avoiding excessively long chunks that reduce retrieval accuracy |
PARSE_BATCH_SIZE | 5–8 documents per batch | A single textile manufacturing research report typically includes multiple pages of structured data. An overly large batch size will cause parsing timeouts. This range balances processing efficiency and stability |
TABLE_EXTRACT_FIELDS | Auto-match by research report chapter | Table fields vary across textile manufacturing sub-segments. Auto-matching reduces manual configuration costs and ensures accurate field extraction |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large specialized textile manufacturing research reports have many pages and complex tables. This duration covers the full parsing process and avoids premature timeouts |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single PDF textile manufacturing research reports usually contain a large number of charts and data tables. This threshold supports upload and parsing for most standard research reports |
The parameter values provided on this page are common starting points 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 your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: After uploading a PDF, the vectorization process takes too long or even throws a timeout error. Cause: The
PARSE_BATCH_SIZEandCHUNK_SIZEparameters were not adjusted. An excessive number of documents parsed at once or overly long chunk sizes lead to high resource usage for parsing and vectorization. - Symptom: After local deployment, some questions during conversations trigger the document parsing process instead of only searching vectorized content. Cause: The global switch for the
QUESTION_PARSE_ENABLEDparameter was not disabled, or the question text was not isolated from the document parsing logic, leading to parsing being triggered by non-document inputs. - Symptom: After uploading a file, data processing returns empty, and no results are returned during search tests. Cause: The
PARSE_TABLE_ENABLEDparameter was not enabled, or theTABLE_EXTRACT_FIELDSconfiguration was not adapted to the structured tables in textile manufacturing research reports, leading to failure to extract key data blocks and empty chunked content.
How to Verify Correct Configuration
- Upload a typical quarterly textile manufacturing research report, and check if the parsing logs include extraction records for table cells to confirm that the
PARSE_TABLE_ENABLEDparameter is active. - View the content length of the chunk list, and verify that the character count of each chunk falls within the preset
CHUNK_SIZErange. - Perform a batch upload of 3-5 research reports, monitor parsing progress and system resource usage to confirm that the
PARSE_BATCH_SIZEandPARSE_FILE_TIMEOUT_SECONDSconfigurations do not cause timeouts or resource overload. - Submit a retrieval request that includes textile manufacturing sub-segment data, and confirm that the returned results include expected structured data such as production capacity and prices to verify the accuracy of the
TABLE_EXTRACT_FIELDSconfiguration.
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.