What the data for this category looks like
Logistics investment research data comes from public operation statistics of transportation departments, monthly reports of industry associations, real-time waybill data from freight platforms, port throughput monitoring data, and publicly disclosed information of logistics enterprises. Data update frequencies cover hourly (real-time waybills), daily (freight rate indexes), monthly/quarterly (industry analysis), and annual (enterprise financial reports). Document structures include structured tables (such as regional freight volume, route freight rate tables) and unstructured analysis reports (such as cross-border logistics policy interpretations, park planning plans). Fields include freight volume, freight rate, timeliness, carrier, and others. Common units are ten thousand tons, yuan/ton-kilometer, hour, and similar units.
What constraints these characteristics impose on the knowledge base retrieval and recall link
Data with multiple update frequencies requires the retrieval link to support time-based filtering, to avoid recalling outdated historical data. Mixed structured and unstructured documents require retrieval to support both precise field matching and semantic association retrieval. Multi-dimensional segmented fields such as region, route, and indicator require recall results to balance relevance and coverage, to avoid missing associated segmented data. Data of the same dimension from different sources may have discrepancies, so a conflict verification link must be added after retrieval to ensure consistency of returned content.
How to Configure
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
recall count | Top 8-12 entries | Logistics investment research data includes multiple segmented dimensions. Too many recall entries will introduce redundant non-core data, while too few will fail to cover associated regional and route information |
similarity threshold | 0.72-0.85 | Structured fields in logistics data have relatively high weight. A threshold that is too low will introduce irrelevant regional freight data, while a threshold that is too high will miss professional analysis reports of the same dimension |
chunk length | 600-1000 characters | Logistics analysis reports mostly have paragraph structures. Too long chunks will lose context association, while too short chunks will destroy the integrity of professional terms such as "freight rate index" and "freight turnover" |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Parsing large structured freight data sets requires a long time, to avoid interrupting the parsing process due to timeout |
maxContext | 4000-6000 characters | Context of multiple structured tables needs to be retained, to ensure that responses can associate freight data and analysis conclusions of different regions |
reranked return count | Top 3-5 entries | Core conclusions of logistics investment research are concentrated in the top associated documents. After reranking, highly relevant core content is displayed first |
The parameter values provided on this page are 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 configuration.
Three Common Configuration Errors
- Phenomenon: When searching for "2024 Yangtze River Delta freight volume", 2023 non-Yangtze River Delta freight data is recalled. Cause: Weighted matching rules for region and time fields are not configured, and only global text similarity is used. This causes non-target dimension data with matching keywords to be recalled first.
- Phenomenon: The response returned when calling the API workflow does not reference knowledge base content, even though the interface shows the knowledge base is bound. Cause:
knowledgeBaseIdis not correctly passed to the workflow's global variable parameters. This means the retrieval link does not associate with the target logistics knowledge base. - Phenomenon: When searching for freight rate data of the same cross-border route, conflicting values appear in the returned content. Cause: Conflict detection configuration for same-dimension documents is not enabled. Duplicate or differing data from multiple sources is not deduplicated or marked.
How to Confirm the Configuration Is Complete
- Upload a structured logistics freight table document, trigger parsing, and review the parsed field list. Confirm that target fields such as freight volume and freight rate unit are correctly identified.
- Initiate a test search, enter a precise query that includes region, time, and indicator. Check the relevance ranking of returned results to confirm they match the configured recall count and reranking rules.
- Review the API call request parameters. Confirm that the
knowledgeBaseIdfield is correctly set to the target knowledge base's ID, to avoid unbound global variable issues. - Import two logistics documents with conflicting numerical values. Check if conflict markers appear in search results to confirm the conflict detection configuration is active.
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.