What the data for this category looks like
Semiconductor research reports primarily originate from securities firm research institutes, industry associations, public financial reports of semiconductor companies, and third-party research institutions. They are one of the core data sources for financial institution investment research systems. Regular reports release quarterly, semi-annually, and annually. Temporary reports generate when sudden technology iterations or industry events occur. Documents typically include abstracts, industrial chain maps, segmented track data tables, technical parameter descriptions, and revenue forecasts. Fields and units include exclusive content such as process nodes, production capacity, revenue, and patent numbers.
Constraints Imposed on Document Parsing and Chunking by These Characteristics
Semiconductor research reports have a high proportion of structured tables and professional parameters. The parsing process must accurately identify table structures and avoid splitting associated data across cells. Professional terms bind strongly to fixed units. Chunking must retain the association between units and corresponding parameters to prevent breaks in professional logic. Research report lengths vary widely, from dozens of pages of brief reports to hundreds of pages of in-depth reports. The system must support stable parsing of long documents. The high-frequency update feature requires the parsing process to have rapid response capabilities while ensuring extraction accuracy of structured data.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_ENABLE | Enabled | Semiconductor research reports contain a large number of structured tables for production capacity, revenue, and process parameters. Table structures must be retained to avoid data loss |
CHUNK_SIZE | 800–1200 characters | The technical paragraphs and associated parameter content of semiconductor research reports are of moderate length. Splitting them preserves the integrity of professional logic within each chunk |
PARSE_OCR_LANGUAGE | Load industry-specific terminology dictionary | Documents contain a large number of semiconductor-exclusive terms and units. Matching the industry dictionary improves recognition accuracy |
MAX_PARSE_DOC_LENGTH | 500 pages | Adapts to the length requirements of in-depth industry research reports and prevents parsing interruptions for long documents |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing multiple tables and long text requires a longer processing cycle to prevent timeout interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Supports batch import of multiple large research report files to adapt to batch retrieval scenarios |
The parameter values provided on this page are common recommended starting points for configuring settings. Actual values are affected by material format, data volume, and business rules. Each case requires individual analysis. It is recommended to test with one’s own samples before finalizing settings.
Three Common Mistakes
- Symptom: An
ocr errordisplays in logs when parsing semiconductor research reports, and a 400 status code returns. Cause: The semiconductor industry-specific OCR dictionary was not loaded, leading to recognition failure for professional terms such as process nodes and production capacity. - Symptom: After deploying version v4.8.22 locally, the file parsing function fails, and no results return after uploading a research report. Cause: The
PARSE_TABLE_ENABLEparameter was not enabled correctly, or the table parsing dependency component was not installed during deployment. - Symptom: A JSON parsing error occurs when connecting research report parsing results to a large language model. Cause: Special units in the research report such as nm and ten thousand wafers per month were not properly escaped, resulting in structured output that does not comply with JSON format specifications.
How to Confirm Configurations Are Set Correctly
- Upload a semiconductor research report containing tables and professional terms, and verify that the parsing results fully retain table structures and unit information.
- Adjust the
CHUNK_SIZEparameter, then test that chunking results do not split core technical paragraphs. This can be verified by viewing the chunk list. - Upload an in-depth research report with more than 200 pages, and confirm that the parsing process does not experience timeout interruptions. This can be verified by checking task logs for running status.
- Check whether the
PARSE_OCR_LANGUAGEconfiguration loads the industry dictionary. This can be verified by checking the accuracy of term recognition in parsing results.
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.