Data for This Category
Papermaking marketing-related data primarily comes from internal enterprise production ledgers, raw material purchase archives, downstream customer inquiry records, and public industry supply and demand briefings. Data update frequency varies by business scenario. Raw material quotation data updates daily or weekly. Product process documents update quarterly when new products launch. Most document structures combine structured tables and long text, including fields such as product model, raw material ratio, delivery cycle, and unit price. Common units are tons, square meters, and cubic meters.
Constraints for Multi-turn Dialogue and Prompt Engineering
Frequent updates to raw material quotations require dialogue contexts to quickly sync the latest unit price data. This prevents use of outdated raw material or product quotation information. Structured product fields require prompts to explicitly specify extraction of corresponding fields. This avoids generating vague marketing content that does not distinguish between paper types. Long-text process documents require limiting the length of context recall. This prevents exceeding the model’s context window and leading to redundant generated content. Downstream customer historical inquiry records need to be associated with corresponding sessions. This ensures multi-turn dialogue can continue discussions of previous procurement needs. At the same time, control context length to prevent irrelevant information from interfering with the accuracy of marketing content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Papermaking-related documents include long process descriptions and multiple sets of structured data. This range covers sufficient historical dialogue and recalled content, while adapting to the context window limits of general-purpose models |
recallTopK | Top 6–8 entries | There are many papermaking product segments. This range recalls enough relevant documents to ensure marketing content covers full category information, while avoiding redundant content interference |
similarityThreshold | 0.72–0.8 | Papermaking industry product parameters have high similarity. A moderate threshold filters irrelevant content while retaining relevant documents for specific product segments |
promptTemplate | First request the required paper type, application scenario, and budget range, then generate customized papermaking marketing content combined with historical dialogue | Papermaking customer needs mostly revolve around specific paper types and business scenarios. Clear guidance improves dialogue accuracy |
sessionHistoryMaxCount | Top 10–15 turns | Papermaking procurement decision cycles are long. Multi-turn dialogue needs to retain sufficient historical demand records, while avoiding excessive historical information interfering with current dialogue |
UPLOAD_FILE_MAX_SIZE | 200 MB | Papermaking process documents and bulk quotation tables are often large structured files. Larger upload capacity support is required |
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 specific analysis. It is recommended to test on internal samples before finalizing configuration.
Three Common Misconfigurations
- Phenomenon: After clicking the quick reply button in the dialogue opening screen, the preset question is not sent directly, and an additional click on the send button is required. Cause: The
quickReplyAutoSendconfiguration item is not enabled, or the trigger logic is not bound to the session auto-send process. - Phenomenon: When calling the dialogue API to upload papermaking-related documents, a 413 Request Entity Too Large error code is returned. Cause: The
UPLOAD_FILE_MAX_SIZEconfiguration item is not adjusted, and the uploaded large process document exceeds the default capacity limit. - Phenomenon: After connecting to the user system, different users can view each other's historical dialogue records. Cause: The session is not bound to the unique identifier field of the user system, and the
userIdparameter for passing user identity information is not configured.
How to Verify Successful Configuration
- Launch a test dialogue, enter papermaking-related segmented requirements, check whether the recalled documents include corresponding category parameters and quotation information, and adjust the number of recalled entries and similarity threshold to meet business needs.
- Launch a multi-turn dialogue, enter different papermaking product requirements in sequence, check whether the system correctly associates historical dialogue content with subsequent questions, and adjust the number of saved session history entries to an appropriate range.
- Upload a large papermaking process document, check whether the system receives and parses it normally, and adjust the file upload capacity configuration to match business needs.
- After configuring the quick reply button, click the button to check whether the preset question is sent directly, and confirm that the auto-send configuration item is effective.
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.