What the data for this category looks like
The data for packaging and printing research reports comes primarily from monthly industry monitoring reports released by a domestic packaging industry association, annual and semi-annual public financial reports of listed packaging and printing enterprises, technical update white papers from printing equipment suppliers, and packaging industry compliance standard documents released by domestic environmental protection departments. The update cadences vary widely: industry monitoring reports are updated monthly, corporate financial reports are updated quarterly or annually, and technical white papers are updated every quarter. Document structures typically include overall industry overviews, raw material cost analyses for segmented packaging categories such as corrugated boxes and flexible packaging, capacity utilization rates, and compliance requirements. Fields include raw material unit prices (unit: yuan/kg, yuan/ton), equipment capacity (unit: square meters/hour), compliance indicator limits, and other relevant metrics.
What constraints these characteristics impose on the knowledge base retrieval and recall link
The monthly update cadence of industry monitoring reports requires that knowledge base recall prioritize the latest data from the past three months to avoid referencing outdated raw material price information. The large number of segmented categories and inconsistent field units require that retrieval perform unit normalization on fields such as raw material unit prices and equipment capacity; otherwise, confusion will occur in retrieval results for similar indicators. Differences in document structures across data sources require that recall logic preset matching rules by document type. For example, financial report documents prioritize matching enterprise names plus capacity keywords, while monitoring report documents prioritize matching overall industry data keywords. The static nature of compliance standard documents requires that the knowledge base regularly trigger incremental updates to ensure the timeliness of compliance clauses.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | top 8–12 entries | There are many segmented categories of packaging and printing research reports. Too many recalled entries will cause context overload, while too few will fail to cover segmented business requirements |
Similarity threshold | 0.72–0.85 | Packaging and printing research reports contain a large number of professional terms. A threshold that is too low will introduce irrelevant content, while a threshold that is too high will fail to recall enough valid documents |
Chunk size | 800–1200 characters | The raw material cost analysis and capacity data sections of packaging and printing research reports are relatively long. Too long segments will destroy context association, while too short segments will split professional terms |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Financial report documents of large packaging and printing enterprises contain multi-page tables and complex data. The default timeout period is insufficient to complete full parsing |
Custom Separator | [\r\n]+ | Uploaded CSV-format research report datasets usually separate lines with line breaks. Using this delimiter can avoid line splitting errors caused by the default delimiter |
Citation Content Template | Source: {source} {content} | Packaging and printing research reports have diverse sources. Clearly marking the source can help verify the timeliness and authority of data |
The parameter values provided on this page are all conventional recommendations used as a starting point 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 your own samples before finalizing the values.
Three Common Misconfigurations
- Symptom: When uploading a CSV-format research report dataset, the custom delimiter fails to correctly split file lines, causing some content to be merged into a single entry. Cause: The delimiter was not configured in regular expression format, or the delimiter does not match the line breaks actually used in the file.
- Symptom: In the output of the knowledge base search node, the referenced content does not follow the configured template, or variables are not replaced correctly. Cause: The configuration positions of the prompt template and reference content template were confused, and variable fields such as document source and content were not correctly bound.
- Symptom: A knowledge base search node with user authentication configured does not take effect during actual calls, returning document content without permission restrictions. Cause: The matching field of the authentication rule was not bound to the user identity parameters passed by the node, or the configuration order of the authentication logic was incorrect.
How to Verify Successful Configuration
- Upload a test packaging and printing research report CSV file, and check whether the parsed text segments conform to the preset segment length and delimiter rules.
- Initiate a test retrieval, and verify whether the returned recall count and similarity matching results meet business requirements.
- After configuring the authentication rules, initiate calls using test parameters of different identities to confirm whether the authentication logic takes effect normally.
- View the referenced content of the retrieval results, and confirm that the variables in the template have been correctly replaced with the actual document source and content.
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.