What the Data for This Category Looks Like
Data sources for jewelry research reports include jewelry segment reports from domestic textile and apparel industry associations, brand new product launch documents, jewelry category transaction briefs from e-commerce platforms, and track analysis articles from professional financial media. Update rhythms vary: industry research reports are released quarterly, brand new product documents are updated irregularly alongside launch cycles, and e-commerce transaction briefs are updated weekly. Document structures typically include four sections: overall track overview, material and process analysis, leading brand updates, and channel performance data. Fields include SKU code, material composition ratio, retail unit price, monthly sales volume, and release date. Units include yuan, pieces, percentage, and others.
How These Data Characteristics Impact Vector Models and Indexing
Data formats vary across sources, including structured transaction tables, semi-structured brand documents, and plain text analysis manuscripts. This requires adapting splitting logic for different formats, and general fixed-length chunking rules cannot be used directly. Update frequencies differ significantly across data sources: weekly updated e-commerce data requires more frequent index refreshes, while quarterly reports can use batch full indexing. As a result, incremental index update strategies must align with each data source’s update rhythm. Jewelry research reports include both numeric fields such as unit price and sales volume, and text-based professional terminology. Vector models must support both text and numeric features, and recognize domain-specific professional terminology. Otherwise, recall relevance will be compromised.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the typical length of jewelry research report paragraphs, preserves complete process descriptions or data paragraphs |
chunk_overlap | 100–150 characters | Avoids splitting professional terminology such as "925 silver gold-plated process", ensures contextual coherence |
vector_model | bge-large-zh-v1.5 | This model has strong understanding ability for professional terminology in the textile and apparel field, suitable for material and process descriptions in jewelry research reports |
index_refresh_interval | 1 day | Balances the timeliness of weekly updated e-commerce data and the indexing efficiency of quarterly industry reports |
recall_top_k | Top 10 results | The jewelry research report track has vertical content; too many recalls will introduce irrelevant data, while too few may miss key information |
similarity_threshold | 0.75–0.8 | Filters out general financial content unrelated to jewelry research reports, retains highly relevant professional documents |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- The symptom is that after upgrading the version, a
413 Request Entity Too Largeerror is triggered when uploading jewelry research report CSV files. The cause is that theUPLOAD_FILE_MAX_SIZEparameter was not adjusted to adapt to the single-file size of jewelry research reports, and some merged brand new product documents exceed the default limit. - The symptom is that the knowledge base indexing gets stuck, the interface shows "Indexing not completed" with no progress updates. The cause is that a reasonable duration was not set for the
PARSE_FILE_TIMEOUT_SECONDSparameter, and parsing of some long chapters of jewelry research reports timed out without triggering a retry mechanism. - The symptom is that non-jewelry textile and apparel research reports are mixed in the recall results. The cause is that no data source field filtering rules were configured, and documents with the
categoryfield set to "jewelry" were not screened, resulting in irrelevant content being included in the index.
How to Verify Correct Configuration
- Upload a test fragment of a jewelry research report, check the parsed segmented results to confirm that professional terminology is not truncated.
- Perform an incremental index check, view the index logs for any timeout or format error prompts, and confirm that the index refresh interval matches the data source's update rhythm.
- Submit a test query about jewelry materials, check the relevance of the recall results, and adjust the similarity threshold to a range that meets business requirements.
- Check the field filtering rules in the index configuration, confirm that the category filtering condition has been bound to filter out non-jewelry documents.
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.