What the data for this category looks like
Data sources for chemical fiber industry data used in financial due diligence include production ledgers from upstream polymerization manufacturers, spot quotation systems from industry monitoring institutions, and customs import and export declaration data. Update frequencies include real-time spot prices, weekly production capacity statistics, and monthly import and export summaries. Most documents are structured tables containing fields such as raw material procurement costs, finished product ex-factory prices, downstream order volumes, and inventory turnover days. Units include yuan/ton, ten thousand tons, tons, days, and others. Each due diligence report contains a large number of original data entries covering multi-dimensional production and trade information, which must be classified and integrated according to business logic before being used for analysis.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The high-frequency updates of real-time spot prices require filtering redundant old data in multi-turn dialogue to avoid returning outdated due diligence reference information. For weekly and monthly bulk data with many entries, prompt engineering must clearly define extraction rules for classification fields to prevent confusion between statistical content of different cycles. Multi-dimensional fields in structured documents require gradual guidance of users to clarify query dimensions during multi-turn dialogue, avoiding mixed output information. Fixed units for numerical fields require prompts to clearly mark output formats to ensure uniform units of results. At the same time, user query context must be retained during multi-turn dialogue to support follow-up refined due diligence analysis requirements.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Chemical fiber due diligence data has many entries, so query context for multi-turn dialogue must be retained to avoid losing key conditions due to context overflow |
RECALL_COUNT | 10–15 entries | Covers multi-dimensional raw material, finished product, and trade data fields for chemical fibers. Too few recalls risk missing information, too many cause context congestion |
vectorScoreThreshold | 0.75–0.85 | Chemical fiber data fields have high similarity. Set a reasonable threshold to filter irrelevant recall results and improve query accuracy |
PROMPT_TEMPLATE | First confirm the data cycle of the query (real-time/weekly/monthly), then extract structured results for the corresponding fields | Chemical fiber data is divided into different update cycles. Clarifying the cycle avoids confusion between statistical content from different time periods |
HTTP_RESPONSE_SHOW | Enabled | In version 4.6.9, this configuration ensures that output content from HTTP orchestration is displayed synchronously in the dialogue interface, solving the issue of missing output display |
UPLOAD_FILE_MAX_SIZE | Calibrated to the actual size of due diligence reports | Single chemical fiber due diligence reports vary widely in size. Match the document limit to avoid parsing failures |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. Testing on relevant samples prior to finalizing settings is recommended.
Three common mistakes
- Phenomenon: The output content from HTTP orchestration is not displayed in the dialogue interface, using version 4.6.9. Cause: The
HTTP_RESPONSE_SHOWconfiguration item is not enabled, causing interface return data to not synchronize to the dialogue output stream. - Phenomenon: Vector indexing progress stalls when calling the large model, and data cannot be imported into the knowledge base. Cause: No reasonable
vectorScoreThresholdis set, or the indexing model used does not match the field characteristics of chemical fiber data, causing indexing process blocking. - Phenomenon: Uploaded chemical fiber due diligence report files cannot be read during dialogue, while the knowledge base file upload function works normally. Cause: The
UPLOAD_FILE_MAX_SIZEconfiguration is not adjusted to match the size of due diligence report documents, or the file parsing timeout period is too short, causing uploaded files to fail to complete parsing.
How to confirm configurations are correctly set
- Launch a test dialogue with multiple rounds of queries, ask for chemical fiber data fields from different cycles in sequence, and check whether the content returned by the dialogue interface matches the query conditions.
- View the HTTP orchestration interface logs, confirm that the returned output field is synchronously displayed in the dialogue output area, and check for any prompts that the configuration has not taken effect.
- Upload an example chemical fiber due diligence report document, trigger a file reading request in the dialogue, and check whether the parsed fields are complete and formatted correctly.
- View the vector indexing progress logs, confirm that the indexing process has no blocking, and the number of recall results matches the preset configuration item values.
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.