What This Category of Data Looks Like
Paper industry research report data primarily comes from the light industry manufacturing teams of securities firm research institutes, public reports released by the China Paper Association, and regular announcements of listed paper manufacturing enterprises. The data update schedule covers multiple dimensions: spot pulp and finished paper prices are updated daily, industry operating rates and production and sales data are updated weekly, quarterly in-depth analysis reports are released quarterly, and annual industry trend reports are updated each calendar year.
Document structures include core data tables, policy interpretations, supply and demand balance sheets, and operating data of leading enterprises. Fields include paper type classification, production capacity measured in tons, price measured in yuan per ton, gross margin-related indicators, and some reports include monthly supply and demand calculation tables.
What Constraints These Characteristics Impose on Tool Calling and Plugins
The multi-dimensional update schedule of paper industry research reports requires tool calling to support layered pulling logic. Configure high-frequency scheduled tasks for daily updated price data, and low-frequency synchronization tasks for quarterly and annual reports to avoid invalid calls consuming resources.
Documents contain a large number of structured tables, which requires the plugin to include a built-in table parsing module. It must extract structured data from fields such as paper type, production capacity, and price; returning only plain text fragments will lose key information.
Data sources are scattered and have varying formats, which requires the plugin to support multi-data source connection configuration, and unify parsing rules for field units to avoid recognition errors for units such as tons and yuan per ton. Some reports include calculation data for segmented paper types, which requires the plugin to support precise recall classified by paper type.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
parseTable | Enabled | Paper industry research reports contain a large number of structured supply and demand tables and price tables. Enabling this option extracts structured fields for precise question answering |
recallTopK | Top 8–12 entries | There are many segmented paper types in paper industry research reports. A sufficient number of recalled documents is required to cover analysis content for different paper types |
similarityThreshold | 0.72–0.78 | There are many industry-specific terms in the paper industry. A threshold that is too low may recall irrelevant industry documents, while a threshold that is too high will miss relevant segmented content |
datasourceSyncInterval | Configured by daily/weekly/quarterly intervals | Corresponds to the update schedules of different data sources: set price data sources to daily, industry data to weekly, and in-depth research reports to quarterly |
chunkSize | 800–1200 characters | Paper industry research reports contain a large amount of mixed table and text content. This segment length balances context completeness and recall accuracy |
pluginDatasourceWhitelist | Paper industry research report database, association public data, listed enterprise announcements | Limits the range of data sources that the plugin can call, to avoid mixing in irrelevant industry data |
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 case-by-case analysis. Testing on internal samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- Scenario: When calling the paper industry research report database plugin, a
400 InternalError.Algo.InvalidParametererror is returned, and the MongoDB visualization tool can connect normally. Cause: The database authentication source was not correctly specified in the plugin configuration, or the name of the target paper industry research report database was omitted from the connection string. - Scenario: After configuring the email push plugin, paper industry research report summaries cannot be sent, and the plugin log shows that the recipient field is empty. Cause: The correct target email parameter was not passed when calling the plugin, or the associated email variable in the research report retrieval results was not bound.
- Scenario: When attempting to add an Oracle database as a paper industry research report data source, the plugin prompts that the database type is not supported. Cause: The current plugin only includes built-in connection drivers for MySQL, PostgreSQL, and MongoDB, and the Oracle connection module is not integrated.
How to Confirm Proper Configuration
- Execute a single plugin call with paper industry-related keywords, and check whether the returned results include structured fields such as paper type and price to verify that the table parsing function is active.
- Review the data source synchronization logs to confirm whether data sources of different cycles (daily price data, weekly production and sales data) have completed synchronization according to the configured interval.
- Test the database connection configuration, input a test query statement for the paper industry, and check whether structured data can be returned normally to eliminate connection parameter errors.
- Trigger the email push plugin, input a test email address, and check whether an email containing paper industry research report summaries is sent successfully to verify that the plugin call link is complete.
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.