What the data for this category looks like
Public periodic reports, temporary announcements from the Shanghai and Shenzhen Stock Exchanges, and investor relations records from brand parties are the main sources of financial report data for listed jewelry industry companies. Data updates fall into two categories: fixed-cycle and real-time. Quarterly, semi-annual, and annual reports are disclosed on a fixed schedule per regulatory requirements. Temporary announcements, such as those related to store expansion or raw material purchase changes, are updated in real time alongside major business milestones.
Document structures include modules such as business overview, discussion and analysis of operations, key operating data, and financial statement notes. Core fields include category-specific revenue amounts, total store count, new/closed store numbers, raw material purchase volume, unit product cost, and channel sales proportion. Corresponding units are RMB yuan, stores, kilograms, yuan per unit, and proportion.
Constraints on vector models and indexing
The multi-source data format and update rhythm of jewelry financial reports create multiple constraints for the vector indexing process. Coexistence of fixed-cycle periodic reports and real-time temporary announcements requires indexing to support a hybrid strategy of incremental updates and full scheduled updates. This avoids resource consumption caused by full index reconstruction.
Document lengths vary significantly. Small temporary announcements are only a few hundred words long, while annual financial reports can reach tens of thousands of words. Flexible segmentation rules are needed to preserve semantic integrity. Additionally, fields include niche category terminology and professional measurement methods. Vector models must have semantic encoding capabilities for niche domain text, to ensure vector representations of different fields accurately match query requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
EMBEDDING_MODEL_NAME | qwen3-embedding-8b | Adapts to niche category terminology and professional measurement text in jewelry financial reports, with semantic encoding effects that meet business requirements |
CHUNK_SIZE | 800–1200 characters | Single-segment operating data text in jewelry financial reports mostly falls within this range. Too short segmentation damages semantic integrity, while too long segmentation affects vector encoding accuracy |
CHUNK_OVERLAP | 100–150 characters | Financial report text contains cross-segment associated information, such as revenue comparisons between two consecutive periods. Overlapping characters preserve contextual connections |
RECALL_TOP_K | Top 8–12 results | Relevant queries for jewelry financial reports usually require coverage of multi-dimensional operating data. Too many recalled results introduce irrelevant information, while too few miss key content |
INDEX_UPDATE_STRATEGY | Incremental updates + full scheduled updates | Adapts to the hybrid update rhythm of fixed-cycle periodic reports and real-time temporary announcements for jewelry financial reports, ensuring data consistency |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single annual financial report documents have large length, requiring sufficient time for parsing and index construction |
The parameter values provided on this page are common starting points for configuration setup. 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 errors
- Scenario: After manually uploading jewelry financial report documents, the interface displays a default generated index. Several hours later, the index status changes to no index or disappears. Cause:
INDEX_UPDATE_STRATEGYis not configured for incremental updates. The full update strategy triggers old index cleanup when new data is added, and structured data is not correctly associated with index metadata after parsing. - Scenario: Vector recall results only return a small number of fields, or fail to match category-specific revenue data in financial reports at all. Cause:
CHUNK_SIZEis set too small, splitting single-segment operating data into multiple incomplete fragments, preventing vector encoding from covering complete semantics. - Scenario: When using version v4.9.11 to connect to
qwen3-embedding-8b, the document status continuously displays "indexing" with no progress updates. Cause: The complete path or version identifier of the model is not correctly specified in theEMBEDDING_MODEL_NAMEconfiguration item, leading to model loading failure and blocking of the index construction process.
How to verify correct configuration
- View the knowledge base configuration page to confirm that the value of
EMBEDDING_MODEL_NAMEmatches the actually deployed model. - Upload a small segment of jewelry financial report content, check the parsed segmented content to confirm that the settings for
CHUNK_SIZEandCHUNK_OVERLAPmatch the expected segment length. - Initiate a query targeting category-specific revenue in financial reports, verify that the number of recalled results falls within the range configured for
RECALL_TOP_K. - Wait for new financial report data from the fixed cycle to be uploaded, confirm that the index completes incremental or full updates according to the settings of
INDEX_UPDATE_STRATEGY.
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.