What the data for this category looks like
Traditional Chinese Medicine (TCM) industry research reports for financial investment scenarios draw from multiple sources. These include industry special reports published by the National Administration of Traditional Chinese Medicine, electronic versions of TCM academic journals, public documents of TCM enterprise R&D pipelines, and special research results from local TCM research institutes.
Update frequency varies by content type. Academic journals follow a fixed update schedule. Industry pipeline research reports are released irregularly alongside R&D milestones. Pharmacopoeia-related research reports launch alongside national standard updates.
Document structures typically include sections such as abstract, medicinal material origin, nature, taste and meridian tropism, clinical application, pharmacological research, quality standards, and references. Fields cover professional content including dosage units (grams, molar concentration), experimental data, release dates, and page numbers.
What constraints these characteristics impose on model access and configuration
TCM research reports have numerous professional fields and high terminology barriers. This requires configuring professional entity recognition rules during model access to avoid splitting or misidentifying core medical content.
Documents have complex structures and long text paragraphs. Segmentation and parsing timeout configurations need adjustment to ensure complete parsing of long content such as pharmacological experiments.
Update rhythms are irregular and sources are scattered. Incremental update and metadata filtering rules must be configured to ensure the timeliness and category accuracy of recalled content.
Some research reports contain complex experimental data. Recall and reranking parameters need adjustment to avoid missing core research information.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the typical paragraph length of professional discussions and pharmacological experiments in TCM research reports, avoiding splitting complete clinical cases or data sets |
recallTopK | Top 6–8 results | Covers multiple relevant fields in research reports such as nature, taste and meridian tropism, clinical application, and pharmacological research, avoiding missing core information |
similarityThreshold | 0.72–0.80 | Adapts to the semantic similarity of TCM professional terms, filtering low-correlation cross-category research reports |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Adapts to the parsing time of a single long research report, avoiding parsing timeout failures caused by complex charts and formulas |
UPLOAD_FILE_MAX_SIZE | 500 MB | Compatible with the file size of multi-chapter comprehensive research reports released by industry associations |
rerankTopK | Top 3–4 results | Narrows the scope of final returned professional content, avoiding redundant non-core information in model outputs |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: A
PARSE_FILE_TIMEOUTerror code appears when parsing TCM research reports, and the parsing task fails. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration is not adjusted, and the default timeout cannot cover the parsing process of long research reports containing complex pharmacological experimental data. - Phenomenon: Retrieved results include Western medicine or other non-TCM category research content, and cannot accurately match the target medicinal materials. Cause: The
similarityThresholdis set too low, and cross-category research reports that do not meet semantic similarity standards are not filtered. - Phenomenon: Compliance verification fails when the application is filed for launch, and the online process cannot be completed. Cause: Metadata association fields for research report sources are not configured, and association information of official release credentials is not retained, making it impossible to prove the compliance of research report content.
How to confirm the configuration is complete
- Upload a single complete TCM research report, check whether the parsed metadata fields include release date, medicinal material name, core research direction and other content, to confirm that the parsing configuration is effective.
- Enter a retrieval question containing the target medicinal material, verify that the number of recalled results matches the configured
recallTopK, and check that all results are TCM-related content. - Test the parsing process of a long-text research report, confirm that no timeout error is triggered, and verify the rationality of the
PARSE_FILE_TIMEOUT_SECONDSconfiguration. - After configuring the metadata filtering rules, enter a cross-category retrieval question, confirm that only TCM-related research reports are returned in the results, and verify that the filtering configuration is effective.
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.