What the data for this category looks like
Data sources primarily include local ecological environment department announcements, public information from national environmental project financing platforms, and policy bank financing announcements. Updates occur daily, covering same-day and last 3 working days of water treatment-related financing updates. Each document is a structured entry containing fields such as project name, affiliated region, financing subject, financing amount, financing method, approval date, fund usage (e.g., sewage pipe network renovation, sludge disposal facility upgrade), and more. Financing amount units are ten thousand yuan or hundred million yuan. Date fields use the YYYY-MM-DD format. Some entries include project approval document numbers.
What constraints do these characteristics impose on knowledge base retrieval and recall
Daily updated data sources require the retrieval pipeline to support scheduled incremental synchronization, to avoid data lag affecting timeliness. Multiple structured fields with mixed units (ten thousand yuan, hundred million yuan) require unified unit formatting during preprocessing, or field-level unit verification during retrieval matching. Some entries have missing fields such as missing approval document numbers. The recall link must allow matching of non-required fields, to avoid missing valid results. Single data entries have small size, but total volume accumulates gradually with daily updates. Initial recall range must be limited to avoid invalid result overload.
How to Set Configurations
| Configuration Key | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single water treatment financing daily report entries have small size. 300 seconds is sufficient for parsing during bulk Excel import, avoiding task timeouts. |
Chunk size | 800–1200 characters | Each structured entry is approximately 200 characters. This segment length can merge 3 to 5 consecutive entries, retain project association information, and avoid splitting that breaks complete financing project descriptions. |
Recall count | Top 8 entries | Financing daily report searches mostly target specific regions or same-day projects. 8 entries cover most scenario result needs, avoiding excessive redundant information interfering with large model inference. |
Similarity threshold | 0.72–0.85 | Financing-related information has small wording differences. A threshold that is too low will introduce irrelevant results, while a threshold that is too high may miss valid matches. Adjust based on actual testing. |
Incremental sync interval | Every 24 hours | Data sources are daily updated financing daily reports. 24-hour synchronization ensures knowledge base data matches the timeliness of public information. |
MAX_CONTEXT | 4000 characters | Total segmented content recalled in a single batch should not exceed the context window limit. 4000 characters can accommodate approximately 15 to 20 financing project entries, meeting large model inference requirements. |
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 your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: A
400 Bad Requesterror is returned when calling the knowledge base association interface. Cause: Knowledge base and conversation link binding parameters are not configured correctly, leading to interface authentication or permission verification failure. - Phenomenon: Excel-imported financing daily report entries are merged into a single segment. Cause: The
Custom Separatorparameter is not set, or the default newline rule is used, without adapting to the requirement that each Excel row corresponds to one data entry. - Phenomenon: Retrieved financing projects are irrelevant to the query requirements. Cause: The
Similarity thresholdparameter is not adjusted for water treatment financing's structured fields, or field-level matching configuration is not enabled. This results in only literal keyword matching, not matching business meaning.
How to Confirm Configuration Is Correct
- Execute an Excel file import test, check if parsed segments are split into individual entries per row, confirm segment configuration and delimiter settings are effective.
- Initiate a retrieval test, count the number of returned results, confirm that the recall count configuration matches the actual returned results.
- Compare retrieval results with the original data source, check whether the matching logic for fields such as financing amount and region meets expectations, confirm that the similarity threshold value adapts to business requirements.
- Review the running logs of scheduled synchronization tasks, confirm that tasks execute normally daily under the incremental synchronization interval configuration, with no timeout or failure records.
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.