What Data for This Category Looks Like
Papermaking industry research report data primarily comes from publicly available research reports from securities firms’ research institutes, statistical documents from industry associations, and periodic reports of listed papermaking enterprises. There are three update cycles: monthly updates of supply-demand and price data for specific paper grades, quarterly release of full-industry in-depth research reports, and ad-hoc event-driven special research reports. Typical document structure includes sections such as overall industry landscape, raw material cost trends, production capacity and profitability analysis for specific paper grades, and operating conditions of leading enterprises. Relevant fields include paper grade name, production volume, raw material unit price, capacity utilization ratio-related metrics, and revenue scale. Common units are tons, yuan/ton, ten thousand yuan, and similar units.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompt Engineering
There are many types of specific paper grades in papermaking research reports, and the supply-demand logic varies significantly across different grades. Multi-turn dialogue must accurately limit the scope of paper grades to avoid invalid cross-category retrievals. Research report data is updated at layered frequencies, so multi-turn dialogue must support dynamic adjustment of the retrieval time window to prevent outdated industry data from being included. Research reports contain multi-dimensional professional fields, so prompts must clearly specify the types of fields to retrieve to avoid returning irrelevant content. Individual research reports have large content volumes, so the multi-turn dialogue context window must adapt to the parsing and transmission requirements of long texts.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
retrieval count | Top 8-12 entries | Individual papermaking research reports have long content. Too many retrieved entries will exceed the context window, while too few will fail to cover complete data for specific paper grades |
similarity threshold | 0.75-0.85 | Papermaking research reports have many detailed dimensions. Precise matching of the paper grade or data type in user queries is required to avoid retrieving irrelevant industry reports |
segment length | 800-1200 characters | Papermaking research reports contain numerous tables and technical terms. Segments that are too long will prevent LLMs from parsing them completely, while segments that are too short will disrupt data relevance |
maxContext | 12000-16000 characters | The core content of a single papermaking research report is approximately 5000-8000 characters. Multi-turn dialogue requires retaining context from at least two research reports |
systemPrompt | Answer solely based on retrieved papermaking research report content, prioritize returning specific data related to paper grades, production volume, and prices, and do not add unmentioned information | Professional data from papermaking research reports must strictly align with the original text to prevent LLMs from generating fabricated content |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | PDF parsing of individual papermaking research reports requires processing large numbers of tables and images. An overly long timeout will cause task failure, while an overly short timeout will prevent parsing from completing |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- When attempting to chain multiple prompt processing steps for the same input during multi-turn dialogue, the output results of each prompt cannot be merged. This occurs because the context transfer rules for
prompt chainare not configured, or the context retention switch for multi-turn dialogue is not enabled. - Retrieved research report results contain a large amount of non-papermaking category content. This occurs because the
similarity thresholdis set too low, or the paper grade scope is not limited in thesystemPrompt. - Timeout errors occur when parsing individual papermaking research reports. This occurs because
PARSE_FILE_TIMEOUT_SECONDSis set too short, or the uploaded research report file exceeds theUPLOAD_FILE_MAX_SIZElimit.
How to Verify Correct Configuration
- Initiate a query targeting a single papermaking paper grade, check whether retrieved results only include research report content for that paper grade, and adjust configuration items until the expected outcome is achieved.
- Upload a complete papermaking research report, check whether the parsed segment logic aligns with professional content reading habits, and adjust parameters until segments are reasonable.
- Initiate consecutive multi-turn queries, check whether each round of responses retains context information from the previous round, and confirm that the configuration adapts to dialogue turn requirements.
- Test chained calls of two different prompts, check whether the final output merges the content from both calls, and confirm that the configuration is correct.
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.