What the Data for This Category Looks Like
Financial report data for the decoration and renovation category comes primarily from securities exchange disclosure platforms, official company announcements, and public industry research reports. Update cycles fall into two categories: periodic and ad-hoc. Quarterly financial reports are disclosed after the end of each quarter. Annual financial reports are disclosed after the end of the calendar year. Ad-hoc announcements are triggered by events such as winning major construction projects or signing large supply chain contracts. Each individual financial report document includes two main sections: consolidated financial statements and management's discussion and analysis. Business segment information separately lists revenue and cost data for segments including home renovation, commercial renovation, and building material sales. Core fields include current period segment revenue, construction subcontracting costs, ending inventory balance, and more. All field units are uniformly Renminbi yuan.
Constraints on Vector Models and Indexing From These Characteristics
The multi-type data characteristics of decoration and renovation financial reports create multiple constraints for the vector model and indexing workflow. First, the data includes structured financial fields and unstructured business analysis text. A hybrid index structure must be built to handle vector generation and retrieval for both data types separately. Second, regularly updated financial reports accumulate quarterly. Incremental indexing must be supported to avoid resource consumption from full index rebuilding. Third, there are many specialized business terms. The vector model must adapt to the professional semantics of the building decoration field to avoid loss of key business information. Fourth, individual documents have long length. Reasonable segmentation rules must be set to avoid context breaks that impact vector generation quality.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment length | 800–1200 characters | Business analysis paragraphs in decoration and renovation financial reports include links between segment descriptions and financial data. This length preserves complete semantic units and avoids context breaks |
recall count | top 8–12 results | Decoration and renovation financial reports include multiple business segments. Sufficient recalled segment data is required to support analysis. Too many results increase inference costs, too few risk missing critical information |
similarity threshold | 0.72–0.78 | Semantic similarity between terms in the decoration and renovation field is relatively high. This range filters irrelevant text while retaining associated data from the same business segment |
incremental index toggle | enabled | Decoration and renovation financial reports are updated quarterly on a regular basis. Incremental indexing avoids resource consumption from full index rebuilding and improves update efficiency |
vector storage dimension | 1536 dimensions | Standard dimension for general-purpose vector models. This covers the semantic complexity of decoration and renovation financial reports while balancing storage costs and retrieval accuracy |
text preprocessing rule | retain financial values and business terms | Financial values and segment-specific business terms in decoration and renovation financial reports are core to analysis. Original expressions must be retained to avoid semantic loss |
The parameter values provided on this page are common recommended starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: After index construction, recall results do not match the target business segment. Commercial renovation recall results include large amounts of home renovation text. Cause: The similarity threshold was not adjusted for the decoration and renovation field. Generic thresholds fail to distinguish semantic differences between segment-specific business terms.
- Symptom: An incremental index task triggers a full index rebuild, with longer-than-expected runtime. Cause: The
incremental index toggleis not enabled, or an incorrect trigger rule is configured, causing every index task to scan all documents in full. - Symptom: Calling the index interface returns empty results, or retrieved results contain no valid business information. Cause: The vector model is not configured correctly, or the text preprocessing rule to retain financial values and business terms is not enabled. This prevents the vector model from recognizing specialized terminology in the decoration and renovation field, failing to generate valid vectors.
How to Verify Proper Configuration
- Upload a single business analysis paragraph from a decoration and renovation financial report, and confirm that the generated vector includes semantic features of specialized terms such as "home renovation", "commercial renovation", and "prefabricated decoration".
- Trigger an incremental index task, and review the index logs to confirm that only processing records for new documents are displayed, with no prompts for full document scanning.
- Submit a retrieval request, and verify that the number of recall results matches the configured
recall count, and that results include relevant content for the target business segment. - Review the vector storage dimension information, and confirm that it matches the configured
vector storage dimension.
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.