What Data for This Category Looks Like
Data for this category comes from daily business documents of state-owned enterprise procurement centers, bidding offices, business requirement departments, audit and discipline inspection departments, and bidding agencies. Included documents are procurement plans, requirement specifications, bidding documents, bid evaluation records, contracts, acceptance slips, and supplier complaint materials. Data sources cover enterprise procurement platforms, public resource trading platforms, supplier databases, contract management systems, and audit issue databases, with a daily update frequency. Documents are generated in stages by business process, and include core fields such as procurement method, budget basis, scoring rules, and supplier qualification requirements. The length of individual documents varies significantly.
Constraints Imposed on Vector Models and Indexing
Daily updated multi-source heterogeneous data requires indexes to support incremental synchronization and format compatibility. This avoids excessive resource consumption from full reindexing. Differences in fields across multiple types of business documents require chunking to preserve business context associations. This prevents splitting that breaks the integrity of core compliance fields such as procurement methods and scoring rules. Variations in document length require vector models to adapt to variable-length inputs. Indexes must also support classification recall by business tags. This meets the needs of audit and discipline inspection departments for retrieval by specific compliance items. The high accuracy requirement for compliance reviews means vector recall results must cover all compliance-related fragments. This avoids omission of key supporting basis.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to the paragraph length of bidding and procurement documents, preserve the integrity of core compliance information such as procurement methods and budget basis |
| Overlap Length | 100–150 characters | Avoid splitting key content such as cross-page bid evaluation records and contract clauses during chunking, ensure context coherence |
defaultToken | 8192 | Adapt to the total length requirements of state-owned enterprise procurement documents, meet the token capacity limit for single recall content |
maxToken | 16384 | Cover multi-document splicing requirements in complex compliance review scenarios, avoid truncation of key compliance basis |
| Single Search Limit | Top 10 entries | Balance recall efficiency and comprehensiveness of compliance review, cover relevant basis for major procurement processes |
| Reranking | Calibrated based on actual testing | Adapt to the semantic association characteristics of business documents, improve the recall priority of high compliance risk fragments |
Three Common Configuration Mistakes
- Phenomenon: Vector database connection error, with a prompt indicating unrecognized document format. Cause: Failed to adapt to the unstructured characteristics of bidding and procurement documents, and no format conversion rules were configured.
- Phenomenon: Knowledge base capacity calculation results deviate significantly from actual document sizes. Cause: Calculation was based only on character count instead of actual token usage of business documents, without considering the difference between
defaultTokenand actual token conversion during embedding. - Phenomenon: Insufficient number of recall results, failing to cover all compliance review requirements. Cause: Chunk length was set too large, leading to insufficient valid chunk count, or similarity threshold was set too high, filtering out weakly associated content related to compliance.
How to Confirm Configurations Are Correct
- Import a single bidding document, verify that chunked fragments retain core fields such as procurement methods and scoring rules, with no obvious truncation.
- Execute compliance-related consultations, confirm that the number of recall results matches the single search limit setting, and covers key compliance basis.
- Perform an incremental update operation, confirm that only newly added documents such as procurement plans and bid evaluation records are synchronized to the index, and no full reindexing is triggered.
- Check the storage usage of the vector database, confirm that it matches the total character count and token usage of imported documents, with no abnormal overflow.
The values provided here 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.