What data for this category looks like
Special steel financial report data primarily comes from periodic reports of listed special steel enterprises, monthly monitoring data from national special steel industry associations, and public quotation documents from upstream alloy raw material suppliers. The update cadence is monthly industry data, quarterly financial reports, and annual full reports.
Document structures include fields such as special steel segmented product output, per-ton production cost, revenue composition, and net operating cash flow. Units are tons, ten thousand yuan, and yuan/kilogram. Some documents also include segmented content such as R&D investment for specific special steel and downstream application domain shares.
Constraints imposed by these characteristics on knowledge base retrieval and recall
The multi-source nature, layered update cadence, and segmented field characteristics of special steel financial report data impose multiple constraints on knowledge base retrieval and recall.
Multi-source data has content overlap, so metadata tags must be configured to distinguish enterprise financial reports, industry monitoring data, and raw material quotation documents, to avoid redundant recall results. Documents with different update frequencies need matching recall priorities: monthly industry data for real-time analysis scenarios, and annual reports for long-term trend judgment.
Long documents account for a large proportion, with single document word counts far exceeding general scenarios. Segmentation rules must be adjusted to adapt to long text splitting, while avoiding content truncation limits caused by overly long single segments.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_BATCH_SIZE | 10–15 documents per batch | Aligns with the platform's single upload limit to avoid failure triggers during bulk imports |
PARSE_MAX_LENGTH | 8000–12000 characters | Adapts to the splitting rules for long special steel financial report documents, avoiding content truncation error prompts |
RECALL_TOP_K | 8–12 results | Covers multi-dimensional retrieval needs for special steel financial reports including segmented products, costs, and revenue |
SIMILARITY_THRESHOLD | 0.72–0.78 | Distinguishes similar financial report content for special steel segmented categories, filtering irrelevant recall results |
PARSE_FILE_TIMEOUT_SECONDS | 120–180 seconds | Adapts to parsing time for long financial report documents, avoiding early termination of the parsing process |
META_TAG_ENABLE | Enabled | Distinguishes multi-source documents such as enterprise financial reports and industry monitoring data, improving retrieval accuracy |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common misconfigurations
- Phenomenon:
UPLOAD_LIMIT_EXCEEDEDerror triggered during bulk document import, ormaxLengthtruncation prompt triggered when reading a single document. Cause: Failed to adjustUPLOAD_BATCH_SIZEandPARSE_MAX_LENGTHconfigurations, using the platform's default batch limit and short text splitting rules, which cannot adapt to the long documents and bulk import requirements of special steel financial reports. - Phenomenon:
400 Bad Requesterror returned when uploading Markdown documents via the API. Cause: Incorrect configuration of document metadata fields, failure to pass document content in the format required by the platform, or failure to adapt to the long text encoding rules of special steel financial report documents. - Phenomenon: Prompt "unsupported data source type" when importing a publicly shared Yuque link. Cause: Failed to confirm the sharing permission and format of the link. The platform only supports publicly accessible plain text/Markdown format web links. Privately shared links or Yuque documents with embedded formats cannot be parsed directly.
How to confirm proper configuration
- Run a single bulk import test, import the number of documents that meets the configured limit, and confirm no upload errors occur.
- Retrieve relevant data for special steel segmented products, check the field matching degree and source tags of recall results, and adjust configuration parameters to meet business analysis needs.
- Upload a single long document, confirm that the parsing process does not time out and there are no content truncation prompts.
- Attempt to filter and export documents by business category, confirm that the export granularity matches the preset metadata tag rules.
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.