What This Category of Data Looks Like
Data sources for this category include the national public resource trading platform, local public resource trading platforms, engineering approval systems, and bidding supervision systems. The update frequency is daily. Daily documents include bidding announcements, qualification prequalification documents, bidding documents, bid documents, bid evaluation reports, public notices of successful bidders, successful bid result announcements, and similar content. Data fields cover industry-standard content such as project sections, qualification requirements, bid evaluation criteria, successful bid information, and other industry-wide content. No custom exclusive units are used, and all fields comply with standard specifications in the bidding field.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
Daily updated data sources require the retrieval system to support incremental synchronization mechanisms. This avoids full index rebuilding that consumes excessive system resources. Multiple types of document structures cover both long and short texts. Long texts such as bidding documents require reasonable splitting to prevent loss of core information. Short announcements require complete recall. Fields focus on professional content such as sections, qualification requirements, and bid evaluation rules. Retrieval must match industry-specific terminology. The system must also accommodate format differences from multiple platform sources to prevent data parsing errors from affecting recall results. Business error outcomes directly relate to retrieval accuracy. Strict control of recall result precision is required to avoid incorrect policy basis impacting project workflows.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale for This Setting |
|---|---|---|
similarity | 0.72–0.88 | Matches professional terminology for engineering bidding policies, filters irrelevant search results while retaining core policy basis |
limit | Top 8–12 entries | Covers multiple policy documents associated with a single project bid, avoids context length exceeding model limits |
searchMode | Full-text search | Adapts to mixed long and short document structures such as bidding announcements and documents, supports associated recall of segmented content |
usingReRank | Enabled | Re-sorts recall results by relevance, prioritizes display of core policy content such as qualification requirements and bid evaluation rules |
datasetSearchUsingExtensionQuery | Enabled | Adds synonymous term expansion for the engineering bidding field, improves recall coverage of policy basis |
collectionIds | Bind exclusive datasets by business scenario | Isolates policy documents for different projects, avoids interference from irrelevant content across sections and projects |
Three Common Misconfigurations
- Incomplete query results after splitting documents in the knowledge base. The cause is failure to set a reasonable segment overlap length for long documents. This leads to loss of associated information between adjacent segments, making it impossible to recall complete policy basis across segments.
- No search results and error messages after uploading PDF documents. The cause is incomplete text extraction preprocessing for the document, or abnormal document format parsing. This prevents the system from generating valid vector indexes.
invalid configuration parameter name "hnsw.iter"error during retrieval. The cause is incorrect configuration of non-permitted index parameters. Importing index configuration items from other platforms leads to parameter verification failure.
How to Verify Correct Configuration
- Upload a single bidding announcement document, run a retrieval test, and check whether the recall results include core policy clauses in the document. Adjust the
similarityconfiguration range to meet the precision required for the business scenario. - Import multiple documents associated with the same project, verify that the
limitconfiguration recall count covers all relevant policy documents, and that there is no context overflow issue. - Trigger an incremental synchronization task, confirm that daily updated policy documents are automatically included in the retrieval scope, with no synchronization delay or omission.
- Simulate objection and complaint queries, verify that
usingReRankprioritizes recall of relevant policy basis such as bid evaluation rules and qualification requirements.
The values provided here are common starting points. They should be evaluated against the samples relevant to the specific deployment scenario.
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.