Reference only; verify against the target FastGPT release and deployment documentation.
What the Data for This Category Looks Like
Documents and materials for power generation groups come from internal operation reports, safety regulations, annual work reports, bidding documents, and meeting minutes. Operation reports and safety ledgers are generated by unit number and operation cycle, with update frequencies including real-time, daily, and annual. Bidding documents and meeting minutes are generated as needed. Most documents contain fixed format fields such as unit number, power generation capacity, and safety incident level. They also include large amounts of specialized terminology and structured data tables.
Constraints Imposed on Vector Models and Indexes
Documents for power generation groups have large variations in length, inconsistent update rhythms, fixed field formats, and include specialized terminology. Long-term operation reports can reach tens of thousands of characters. Chunking logic must be adapted to avoid semantic fragmentation. Real-time updated safety ledgers require indexes to support incremental synchronization. Periodically updated annual reports must be compatible with batch indexing workflows. Fixed format fields and specialized terminology require separate indexing rules. Generic retrieval logic would otherwise cause semantic deviation.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Matches the typical per-section length of documents for power generation groups, prevents semantic fragmentation caused by including cross-specialty paragraphs in a single chunk |
| Overlap Length | 100–200 characters | Retains context for specialized terminology across chunks, prevents loss of critical professional connections such as steam turbine units and denitrification efficiency |
| Similarity Threshold | 0.72–0.85 (calibrated via actual testing) | Matches the semantic similarity distribution of specialized terminology in the power generation field, filters low-relevance generic documents |
| Single Search Limit | Top 10 results | Balances retrieval accuracy and server load, meets the specialized retrieval needs of documents for power generation groups |
maxToken | 8000 | Adapts to the context splicing needs of long documents, prevents truncation of specialized parameter content |
defaultToken | 2000 seconds | Sets the interface timeout threshold, adapts to the indexing generation time for large power generation documents |
Three Common Misconfigurations
- Symptom: A 400 status code is returned when creating a vector index, with no response body. Cause: Failure to adapt long text chunk lengths for power generation group documents, causing chunks to exceed the token limit supported by the model.
- Symptom: Server read-write resources are continuously depleted. Cause: Failure to set a reasonable single search limit and parallel indexing count, leading to excessive simultaneous data loading during batch processing of long documents.
- Symptom: Knowledge base file uploads occasionally get stuck during 1 or 2 indexing groups. Cause: Some documents contain non-standardized professional fields, leading to format exceptions during index parsing.
How to Verify Proper Configuration
- Upload a typical power generation operation report, confirm chunked text retains complete specialized terminology and section connections.
- Initiate a retrieval for a specialized term, confirm the relevance of returned results matches preset expectations.
- Batch upload multiple different types of power generation documents, confirm no abnormal errors occur during the indexing generation process.
- Adjust relevant parameters, verify the indexing update and recall workflow for long documents is stable.
The values given 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.