What this category of data looks like
Data sources for this category include the China Government Procurement Network, local government procurement websites, fiscal integration systems, procurer budget systems, and supplier credit records. The update frequency is daily. Daily documents cover procurement requirements, procurement plans, bidding documents, tender documents, bid evaluation reports, winning bid announcements, procurement contracts, and responses to inquiries. Fixed fields include procurement project numbers, evaluation criteria, supplier qualifications, and contract terms. Data is dynamically generated as procurement projects advance, and must comply strictly with relevant government procurement format specifications.
Constraints on the knowledge base retrieval and recall link
Data is updated daily, so the retrieval pipeline must sync the latest announcements and contracts. Using expired bid evaluation reports or winning bid information may cause compliance issues. Significant structural differences exist across document types: bidding documents contain long-text evaluation rules, while responses to inquiries are mostly short-text requests. Retrieval logic must adapt to varying text lengths. Data sources are scattered, so cross-system integration of fiscal and government procurement website data is required, and invalid duplicate entries must be filtered. Core fields such as supplier credit records require precise matching. Retrieval deviations may lead to qualification review errors, resulting in bid invalidation or regulatory penalties. For the most time-consuming steps of preparing procurement requirements and verifying supplier qualifications, retrieval must return accurate results quickly to avoid delaying process progress.
Configuration settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches the density of technical terms in government procurement documents, avoids retrieving irrelevant general procurement text, and ensures that core relevant content such as bid evaluation reports and winning bid announcements is retrieved |
limit | Top 10 entries | Covers core documents across the entire procurement project process, while controlling context length to avoid exceeding model input limits |
usingReRank | Enabled | Addresses differences between long-text bidding documents and short-text inquiry responses, optimizes ranking accuracy of retrieval results, and improves matching for professional questions |
datasetSearchUsingExtensionQuery | Enabled | Supplements industry term extensions related to procurement, improves retrieval accuracy for professional questions, and covers expressions that are not directly matched |
collectionIds | Grouped by procurement project-associated knowledge bases | Limits retrieval scope to exclusive documents for the corresponding project, avoids interference from cross-project data, and improves retrieval efficiency |
Three common misconfigurations
- Retrieval of a single procurement-related document takes more than 30 seconds: The cause is failure to limit
collectionIdsto the exclusive knowledge base for the corresponding project. Pulling all publicly available government procurement data fully leads to excessive load on the retrieval pipeline. - Only a single result is returned after associating multiple knowledge bases: The cause is failure to configure
usingReRank, an overly strictsimilaritythreshold that filters valid response content from another knowledge base, or failure to enable the multi-result merging logic. - Expired bid evaluation reports appear in retrieval results: The cause is failure to configure the knowledge base synchronization task at the daily update frequency, and failure to replace expired historical documents in a timely manner.
How to confirm the configuration is correct
- Enter a query with a specific procurement project number, verify that retrieval results only include documents related to that project, with no content from other unrelated procurement projects.
- Trigger a retrieval for professional procurement terms, verify that retrieval results cover core document types of the corresponding category such as bidding documents and bid evaluation reports.
- Check retrieval time logs, confirm that single retrieval time meets the performance requirements of the business scenario.
- Verify the multi-knowledge base association configuration, confirm that relevant content from different knowledge bases for the same question is retrieved normally.
The values provided are common starting points and should be measured 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.