Knowledge Base Retrieval and Recall for Water Utility

What This Category of Data Looks Like

Water utility financing daily report data is sourced from local public resource trading platforms, official approval documents for water utility projects, and internal operation ledgers of water utility groups. Updates occur daily. Individual daily report documents have significant differences in length. It is recommended to confirm based on sample statistics or actual testing. Documents always include fixed fields: project name, affiliated administrative region, financing amount, financing method, approval date, and cooperating entities. Financing amount uses a uniform unit of ten thousand yuan. Date fields follow the YYYY-MM-DD standard format. No additional custom fields are included.

Constraints Imposed on Knowledge Base Retrieval and Recall

Daily updated data sources require the knowledge base incremental synchronization frequency to match the daily report release cycle, to avoid recalling outdated data. Fixed field structure requires precise matching of field dimensions during retrieval, to avoid cross-field confused recall. Financing amount in ten thousand yuan units requires unified unit thresholds during retrieval, to prevent result sorting errors caused by unit conversion deviations. Segmentation processing for long document files must avoid truncating key field information. Individual financing projects should be treated as independent retrieval units, without splitting by full pages. Meanwhile, the diversity of cooperating entity names requires support for synonym matching during recall, such as associative recall for different expressions of water utility entities.

Configuration Settings

Configuration Item	Suggested Value	Basis for This Setting
`PARSE_FILE_TIMEOUT_SECONDS`	`300 seconds`	Most individual water utility financing daily report documents are within 1,000 characters. 300 seconds is sufficient to complete parsing and avoid timeout blocking
`Recall count`	`Top 6 entries`	The number of water utility financing projects within a single day is typically 5 to 8. Recalling 6 entries can cover all valid projects of the day
`Similarity threshold`	`0.72–0.78`	Fields for water utility financing projects are highly standardized. A threshold that is too high will miss similar projects, while a threshold that is too low will introduce irrelevant results. This interval is calibrated based on actual testing
`Chunk size`	`800–1200 characters`	Information for a single project in a daily report is approximately 400 to 600 characters. Setting the segment length to 800–1200 preserves complete context for a single project
`maxContext`	`4000 characters`	Limits the total length of recalled content, to avoid exceeding the large model's context window, and adapts to the multi-project summary retrieval needs of water utility financing daily reports
`SYNC_CRON_EXPR`	`0 8 * * *`	Matches the daily report release time at 8 AM daily, enabling daily incremental synchronization of the latest data

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 analysis on a case-by-case basis. It is recommended to confirm based on actual testing using available samples.

Three Common Misconfigurations

Symptom: A "document parsing timeout" error pop-up appears when triggering knowledge base retrieval, with status code 504. Cause: The PARSE_FILE_TIMEOUT_SECONDS value was not adjusted to match water utility financing daily reports. The default timeout duration is insufficient, leading to parsing failure.
Symptom: Retrieval response time exceeds 10 seconds, and a loading spinner appears on the interface. Cause: The maxContext value was not restricted. The total length of recalled content exceeds the large model's processing limit, leading to inference delay.
Symptom: Unable to locate the specific error cause after retrieval failure, making it impossible to troubleshoot knowledge base configuration issues. Cause: Knowledge base retrieval log output in FastGPT was not enabled, and no log storage path was configured, leading to inability to view detailed error information.

How to Confirm Configurations Are Correct

Manually upload a latest water utility financing daily report document, check if the parsed fields fully match the preset structure, with no truncation or loss.
Enter a typical water utility financing query term, verify that the update time of recalled results matches the daily report release cycle, with no outdated data.
Adjust the Similarity threshold and Recall count values, compare the number and relevance of results across multiple retrieval attempts, to determine the value range that meets business needs.
Enable the knowledge base retrieval log function, trigger a retrieval operation, and check if the log contains complete retrieval links and error information (if any).

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.