What the data for this category looks like
Marketing content data related to chemical fibers mainly comes from product standards released by chemical fiber industry associations, process documents from production enterprises, and marketing scripts and product documents from financial institutions for supply chain financing, industrial insurance, and industrial wealth management targeting chemical fiber enterprises. Two update cadences apply: raw material supply and demand and market trend data for the chemical fiber industry are updated weekly. Financial product terms and compliance documents are revised annually per regulatory requirements. Most documents use a structured entry format, including parameters such as chemical fiber product model, fineness, and breaking strength, with supporting notes for financial product adaptation, underwriting rules, or return terms. Standard units from the chemical fiber industry such as dtex and cN/dtex are used for field units.
What constraints these characteristics impose on retrieval and recall
Chemical fiber marketing content combines industry parameters and financial product attributes, so retrieval and recall must support both precise matching of chemical fiber parameters and scenario adaptation for financial products. Differences in update cadences across data types require staged incremental update tasks. Industry trend data and financial product documents are synced separately to avoid full updates that consume excessive computing resources. Marketing content binds industry parameters and financial terms, so recall must match both the chemical fiber application scenario and financial product requirements in user questions. Unit normalization must be applied to parameters such as fineness to correctly recognize different unit expressions.
How to set configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
recall count | 6–8 results | Chemical fiber marketing content combines industry parameters and financial terms, with high information density per document. Too many recalled results increase context length, while too few fail to cover all parameters and product options |
similarity threshold | 0.72–0.80 | Chemical fiber parameters and financial terms have high expression precision. A threshold that is too low introduces irrelevant matching content, while a threshold that is too high fails to recall scenario-adapted content with slightly lower matching scores |
chunk length | 800–1200 characters | Chemical fiber documents include continuous parameter descriptions and financial adaptation scripts. Chunks that are too long lose the binding logic of local parameters and terms, while chunks that are too short destroy content integrity |
field matching weight | Industry parameter fields: financial adaptation fields = 6:4 | In marketing scenarios, users first confirm chemical fiber application requirements before matching corresponding financial products. Prioritize matching industry parameter scenarios, then supplement financial term details |
incremental update cycle | 1 time per week (industry trend data), 1 time per month (financial product documents) | Aligns with the update cadence of the two data types, avoids repeated syncing of unchanged documents, and reduces storage and computing overhead |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: Matching results are only returned on the first knowledge base call, and no recalled content appears for subsequent identical or similar questions. Cause: Incremental update tasks are not configured, or the incremental update cycle is set too long, causing new chemical fiber industry trend data or financial product marketing materials to fail to sync to the retrieval database.
- Phenomenon: Non-chemical fiber category parameter matching content appears in retrieval results, or results where financial product terms do not match chemical fiber parameters. Cause: Unit normalization configuration is not enabled, or field matching weight is unbalanced, causing fuzzy matching weights for non-target parameters or irrelevant financial products to be too high.
- Phenomenon: Imported bilingual (Chinese and English) documents are not fully recalled, and retrieval results only return single-language content. Cause: A unified vector model is not configured for multilingual documents, causing Chinese and English vector spaces to be separated, making cross-language matching of user questions impossible.
How to confirm successful configuration
Test questions including chemical fiber parameters and financial product requirements are manually entered, and retrieval results are reviewed for matching product models and financial adaptation content. Knowledge base sync logs are reviewed to confirm incremental update tasks trigger per the preset cycle, and new industry trend data or financial product documents are correctly parsed and stored in the database. Field matching weight tests are conducted, the weight ratio is adjusted, and whether the priority of industry parameters and financial products in retrieval results meets marketing scenario expectations is verified. Multilingual tests are triggered, mixed Chinese and English questions related to chemical fibers and finance are entered, and whether corresponding bilingual document content can be recalled is verified.
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.