What the data for this category looks like
Chemical fiber industry data primarily comes from upstream petrochemical raw material trading platforms, monthly reports from the China Chemical Fiber Industry Association, regular production capacity and revenue reports of listed companies, and order data from downstream textile terminals. The update rhythm of data varies significantly: raw material spot prices are updated minute by minute, industry supply and demand reports are released monthly, and corporate production capacity reports are disclosed quarterly. Document structures fall into three categories: structured spot quotation sheets (including fields such as product variety, specification, and transaction price), semi-structured industrial research reports (including data charts and analysis paragraphs), and unstructured corporate announcements and industry interpretations. Core fields include fineness (unit: dtex), breaking strength (unit: cN/dtex), production capacity (unit: 10,000 tons/year), and transaction price (unit: yuan/ton).
What constraints these characteristics impose on multiturn dialogue and prompt engineering
The multi-dimensional update rhythm and field specificity of chemical fiber industry data impose clear constraints on multiturn dialogue and prompt configuration. Real-time updated raw material price data requires that dialogue contexts retain the latest timestamps to avoid associating with outdated data. Multiturn investment research dialogues often involve upstream and downstream industrial chain correlation analysis, requiring retention of more than 3 turns of context fields. For example, if a user first asks about PTA prices and then asks about the impact of these prices on polyester staple fiber profits, the category and unit information of both must be associated. Data parsed from long documents must be recalled according to structured fields, and prompts must explicitly require the AI to only use fields from the chemical fiber category to avoid confusing units and specifications from textile categories. Cross-cycle data backtracking requirements mean that dialogue history must be retained for a long time to enable monthly or quarterly industrial data comparisons.
How to set the configurations
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single chemical fiber research report often exceeds 3000 characters, and multiturn dialogues need to retain more than 3 turns of industrial chain data context to avoid truncating key fields such as fineness and price |
RECALL_TOP_N | Top 6–8 results | Chemical fiber data covers multiple dimensions including raw materials, production capacity, and prices. Too many recalled results will crowd out context space, while too few will fail to cover industrial chain correlation logic |
SIMILARITY_THRESHOLD | 0.75–0.85 | Chemical fiber category fields have many units (such as dtex, yuan/ton), requiring strict matching of field relevance to avoid recalling irrelevant textile category data |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Large chemical fiber production capacity report PDFs often contain multiple pages of structured tables, requiring sufficient time to complete field extraction |
CHAT_HISTORY_RETENTION_DAYS | 180–365 days | Investment research requires backtracking industrial chain data from several months ago, meeting the needs of long-term data review |
DOWNLOAD_EXPIRE_ENABLED | Disabled | Investment research personnel need to retain dialogue records for long-term review, avoiding expiration date restrictions |
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 mistakes
- Phenomenon: The dialogue history download link shows a 7-day validity period, making it impossible to retain review materials long-term. Cause: The
DOWNLOAD_EXPIRE_ENABLEDconfiguration was not disabled, and the short-term validity limit is enabled by default. - Phenomenon: After more than 3 turns of multiturn dialogue, the previously mentioned fineness unit (such as dtex) is incorrectly replaced with other specification units. Cause: The
maxContextconfiguration value is too small, truncating the unit field in the context and preventing the AI from associating context parameters. - Phenomenon: Single dialogue response time exceeds 10 seconds, failing to meet real-time investment research query requirements. Cause: The
RECALL_TOP_Nvalue is too large, recalling too much unstructured research report data at the same time and exceeding the model's processing limit.
How to confirm the configuration is correct
- Initiate a multiturn dialogue containing chemical fiber category fields, and check whether the retained units and data timestamps in the context match the input.
- Upload a single chemical fiber research report exceeding 5000 characters, and check whether the parsing completion status and response time meet expectations.
- Initiate a dialogue to backtrack industrial chain data from 3 months ago, and verify that the dialogue history can be loaded and traced normally.
- Test adjusting the similarity threshold, and confirm that the recalled results only include relevant data from the chemical fiber category, with no irrelevant categories mixed in.
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.