What the Data for This Category Looks Like
This category of data originates from national and local public resource trading platforms, engineering approval systems, and bidding and tendering supervision systems, with a daily update frequency. Daily documents include tender announcements, qualification pre-qualification documents, bidding documents, bid submissions, bid evaluation reports, successful bid candidate notices, and successful bid result announcements. Core fields cover section division, qualification requirements, bid evaluation expert records, objection and complaint content, bill of quantities, and construction period requirements. Most documents use a format combining structured tables and professional narrative text.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
The daily updated data source requires the knowledge base synchronization mechanism to support incremental updates, to prevent data lag from impacting the timeliness of ledger summary. Documents mix structured tables and professional narrative content, so the retrieval process must handle both structured field matching and semantic recall, to avoid missing critical bill of quantities information within tables. Core professional fields such as section division and qualification requirements must be accurately recalled; fuzzy matching may lead to incorrect association of project information. Data formats vary across multiple sources, so format standardization must be completed prior to retrieval, to ensure uniform recall of identical document types from different platforms.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Meets the precision requirement for matching professional terminology in the bidding and tendering field, avoiding recall of irrelevant non-project documents |
limit | Top 10 | Ledger summary needs to cover all relevant sections and qualification requirements; the single recall upper limit balances efficiency and recall completeness |
searchMode | Hybrid Retrieval | Meets the recall needs for both structured fields such as section numbers and semantic content such as qualification requirements |
usingReRank | Enabled | Bidding and tendering documents are highly professional; re-ranking can filter low-relevance recall results and raise the priority of core documents such as bid evaluation reports |
datasetSearchUsingExtensionQuery | Enabled | Supplement general term extensions related to the project, avoiding recall omissions caused by professional abbreviations or short forms |
collectionIds | Bound by project cluster | Limit the retrieval scope to the exclusive dataset of the corresponding engineering construction project, avoiding interference from cross-project data |
Three Common Misconfigurations
- Phenomenon: The knowledge base fails to recall same-day updated successful bid result announcements. Cause: No incremental synchronization trigger rule is configured, and only full synchronization is used, causing new data to not be imported in a timely manner.
- Phenomenon: No matching results are returned when retrieving table content within bidding documents. Cause: Structured data retrieval adaptation is not enabled, or table fields were not correctly identified during dataset import.
- Phenomenon: Recall results become inconsistent after replacing the embedding model, and matching accuracy for multilingual documents drops. Cause: A batch re-embedding operation was not performed for all historical documents, creating a mismatch between the vector spaces of the old and new models.
How to Verify Correct Configuration
- Manually import a same-day updated successful bid result announcement, and confirm that it can be properly recalled during retrieval.
- Upload a bidding document that includes a structured table, and verify that the retrieval process can extract section and bill of quantities information from the table.
- Adjust the
similarityparameter range, observe changes in the relevance of recall results, and confirm that the parameter value aligns with business requirements. - Trigger the incremental synchronization task, check the system log for synchronization records of the same-day data source, and confirm that the update process operates correctly.
The values provided are common starting points and should be evaluated against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.