What Data for This Category Looks Like
Special steel financial report data primarily comes from annual and semi-annual periodic reports of listed special steel enterprises, as well as segment operation briefings released by industry self-regulatory organizations. Update cadence is fixed: annual reports are disclosed once per year, semi-annual reports once every six months, and temporary announcements are released alongside major operating events. Documents mostly combine structured tables and paragraph text, including fields such as production volume, sales volume, alloy composition ratio, unit production cost, and inventory turnover days. Units are mostly standard industrial metrics like tons, yuan/ton, and days.
What Constraints Do These Characteristics Impose on Vector Models and Indexing
Special steel financial reports combine structured tables and unstructured professional text. Indexing systems must support combined precise matching of structured fields and semantic recall of unstructured text. Fixed-cycle periodic reports and randomly released temporary announcements use mixed update cadences. Indexing configurations must support flexible switching between incremental and full updates. Documents contain industry-specific technical terms such as alloy grades and rolling process parameters. Vector models must adapt to semantic encoding of these terms to avoid semantic drift from generic models. Single disclosure documents have large content volumes. Chunking logic must be adjusted to preserve contextual integrity of professional content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_length | 800–1200 characters | Special steel financial reports include long paragraphs of professional process descriptions and financial details. This range preserves contextual connections for technical terms and avoids semantic breaks |
vector_model | bge-large-zh-v1.5 | This model has higher encoding accuracy for Chinese industrial segment technical terms, and can adapt to professional content such as alloy grades and rolling parameters in special steel financial reports |
recall_count | Top 8–12 results | Special steel financial reports have strong relevance between professional content. Too many recall results introduce irrelevant information, while too few miss key operating data |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Special steel financial reports contain multiple structured tables and long text paragraphs. Parsing time is longer than generic documents, and this duration covers the complete parsing process |
similarity_threshold | 0.72–0.80 | Technical terms in special steel financial reports have high recognizability. This range filters low-relevance recall results while retaining core business and financial information |
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 individual analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Symptom: After upgrading the platform version, uploading a special steel financial report CSV file triggers a
413 Request Entity Too Largeerror. Cause: The new version adjusted the default value of theUPLOAD_FILE_MAX_SIZEparameter by default, which does not adapt to the actual volume of special steel financial report files. - Symptom: The knowledge base indexing task stays in the "pending indexing" state for a long time without generating any indexed data entries. Cause: No incremental update trigger rules are configured, and historical processed documents are not skipped during full indexing, leading to repeated indexing consuming system resources.
- Symptom: Irrelevant fragments mixing alloy composition data and financial data appear in retrieval results. Cause: The
chunk_lengthsetting is too short, which destroys the contextual connection between technical terms and corresponding financial indicators during splitting.
How to Confirm Proper Configuration
- Upload a single special steel financial report document, review the parsed chunked content to confirm that technical terms and corresponding fields are not split apart.
- Execute a small-scale incremental indexing test, verify that only newly added temporary announcement documents are correctly included in the index library.
- Submit a professional query term related to the special steel field, check the similarity scores of recall results to confirm that the score range matches the preset threshold.
- Review the indexing task logs to confirm that no timeout or repeated indexing error messages appear.
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.