What data for this category looks like
Data sources are public periodic reports disclosed by listed companies and public industry statistical materials. Update frequency aligns with financial report disclosure cycles. Most documents are PDF formats combining structured tables and text descriptions. They include content such as production capacity scale, raw material consumption, revenue composition, and core financial indicators. Fields include per-ton paper consumption values, unit product costs, revenue segment amounts, and more. Units cover concrete types such as weight, monetary value, and production capacity scale. There are no abstract percentage-based statistical fields.
What constraints these characteristics impose on knowledge base retrieval and recall
Financial report data mostly uses structured PDF formats. It includes industry-specific fields such as per-ton consumption and cost amounts. This requires the retrieval and recall link to accurately match structured content within tables, rather than broadly matching scattered text. Fixed disclosure cycles require the knowledge base to regularly sync the latest financial reports, to avoid recalling outdated information. The existence of industry-specific fields requires adjusting the matching granularity of retrieval, filtering financial data from non-paper manufacturing categories. It also requires setting targeted recall rules for fixed financial report sections, to improve matching accuracy.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
segment_length | 300–500 characters | Structured tables in paper manufacturing financial reports typically list single-type indicator details per row. This length can fully cover a single financial detail or segment description, avoiding splitting that breaks field integrity |
recall_count | Top 8–10 results | Core indicators of paper manufacturing financial reports are mostly concentrated in a small number of sections. Too many recalled results will introduce irrelevant data, while too few will fail to cover all information needed for analysis |
similarity_threshold | 0.75–0.85 | Semantic matching accuracy for industry-specific fields is relatively high. This threshold can filter financial data from non-paper manufacturing categories, retaining highly relevant financial report content |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Single annual report PDFs for paper manufacturing have many pages, leading to long parsing durations. This duration avoids parsing timeout failures |
rerank_return_count | Top 5 results | Core information of paper manufacturing financial reports is concentrated in the top recalled results. Retaining a small number of highly relevant entries after reranking helps control context length |
UPLOAD_FILE_MAX_SIZE | 500 MB | Total size of single paper manufacturing annual report PDFs and attached Excel files is typically large. This upper limit covers the upload requirements of conventional financial report files |
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. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: After knowledge base recall results are spliced, the output content includes the phrase "citation marker: [1]". Cause: The configuration for disabling citation marker output in knowledge base retrieval results is not turned off, or original document citation numbers are retained during segmentation.
- Phenomenon: After uploading a single paper manufacturing financial report, parsing fails, and the interface returns status code
504 Gateway Timeout. Cause: The setPARSE_FILE_TIMEOUT_SECONDSduration is insufficient to complete full parsing of the multi-page PDF financial report. - Phenomenon: After uploading an Excel-format paper manufacturing financial report detail, retrieval recall results fail to match specific per-ton paper consumption indicators. Cause: The
segment_lengthparameter is not adjusted. The default segment size is too large, splitting complete detail tables into too few chunks and breaking field integrity.
How to confirm correct configuration
- Upload the annual report PDF of a single listed company in the paper manufacturing industry, check parsed text segments, confirm no single financial detail field is split across segments.
- Enter a search term including "per-ton paper pulp consumption", check the number and similarity of recalled results, adjust the
similarity_thresholdandrecall_countto a range that meets analysis requirements. - Upload an Excel financial report attachment with 10000+ rows of details, verify retrieval can match single detail data, confirm the
segment_lengthparameter adapts to data granularity. - Check knowledge base sync settings, confirm automatic sync tasks aligned with financial report disclosure cycles have been configured, to avoid recalling outdated data.
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.