What the data for this category looks like
Logistics research report data comes from public reports of transportation industry associations, third-party logistics data monitoring institutions, regular financial reports of listed logistics companies, and monthly monitoring data from transportation authorities. Most data updates follow a monthly schedule. Some trunk line freight rate and hub throughput data are updated weekly. Most documents use structured tables paired with text analysis. They include fields such as trunk line transport unit price, warehouse vacancy rate, regional cargo volume share, and more. Units follow professional logistics measurement standards, including yuan/ton-kilometer, ten thousand TEU, square meters, and others.
Constraints imposed by these characteristics on citation source and traceability
The multi-source and heterogeneous nature of logistics research report data requires traceability links to mark data publishers and collection channels. This prevents confusion over statistical definitions across different institutions. The high share of structured documents requires traceability positioning to support single data rows or specific indicator items. It cannot only support entire page documents. The mixed monthly and weekly update rhythm requires traceability links to support configurable timeliness filtering thresholds. This matches the update frequencies of different indicators. The professional measurement units of different fields require traceability results to retain original unit markings. This avoids data meaning deviations caused by unified conversion.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Recall count | Top 8-12 entries | Each logistics research report contains multiple independent data indicators. Too many recalled entries increase traceability screening costs. Too few fail to cover core business indicators |
Similarity threshold | 0.72-0.85 | The logistics field has many professional terms and large differences in statistical definitions. A threshold that is too low introduces irrelevant research report data. A threshold that is too high misses targeted indicators in the same professional field |
Rerank result count | Top 3-5 entries | Core data of logistics research reports is usually concentrated in the top 3 highly matched results. Too many returned entries distract from traceability efforts |
Citation Source Display Fields | Issuing Organization, Update Time, Original Unit | The statistical subject, timeliness, and measurement standard of logistics data are core reference items for judging credibility during traceability |
Timeout | 120 seconds | Some logistics research reports contain multi-page structured tables. Parsing and retrieval require longer processing cycles |
Traceability Anchor Configuration | Enable table row positioning | Core data of logistics research reports is mostly presented in structured tables. Anchor positioning can accurately point to specific indicator entries |
The parameter values provided on this page are common recommendations for starting configuration. Actual values are affected by document format, data volume, and business rules. Analyze specific cases individually, and test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: The number of citations displayed in conversations exceeds the preset limit. Cause: Result merge filtering is not configured during multi-knowledge base calls. Recalled results from different knowledge bases are directly stacked, leading to an unexpected total count.
- Symptom: The order of citation merge results does not match professional relevance. Cause: Only basic similarity sorting is used. Sorting weights are not adjusted for the professional terminology of logistics research reports.
- Symptom: Traceability results cannot locate specific data rows. Cause: The table row positioning function in
Traceability Anchor Configurationis not enabled. Only entire page document links are displayed.
How to Confirm Proper Configuration
- Upload a test logistics research report document. Initiate a query about specific trunk line freight rates or warehouse data. Verify that the citation sources in the returned results include the configured display fields.
- Adjust the
Recall countconfiguration. Initiate the same query. Verify that the total number of returned citations matches the adjusted setting. - View retrieval logs. Confirm that the traceability link includes table row anchor parameters, allowing direct jumps to the corresponding data entry.
- Configure citation hiding rules in the workflow. Initiate a query. Verify that redundant citation source information is not displayed in the conversation interface.
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.