What this category's data looks like
The data used for declaration materials and file review at power generation groups primarily comes from project declaration systems, unit operation and maintenance archives, and environmental protection acceptance filing systems. Data update frequency fluctuates with project cycles. Bulk updates occur during peak project declaration periods, while daily updates focus on single-file archiving. Each individual document includes fields such as project number, unit number, declaration date, approval node, and material attachments. Most attachments are in PDF or Word format. Some scanned documents are converted to text via OCR. Document lengths range from a few pages to hundreds of pages. Professional parameters include declaration amount (ten thousand yuan) and unit capacity (megawatts).
Constraints for Vector Models and Indexing
The text span of power generation group declaration materials and files varies widely. Short texts have compact semantics, while long texts contain multi-level approval logic. This creates requirements for vector chunking adaptability. Scenarios with both historical files and new declaration materials require synchronized updates for full and incremental indexes. This prevents gaps between old and new data in retrieval results. Multiple business fields require vector indexes to bind metadata. This prevents mixing materials from different units or projects during retrieval. Some OCR-converted text has recognition errors. This requires vector models to have a baseline level of fault tolerance.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the text span of power generation group declaration materials, balances semantic completeness and index entry count |
| Overlap Length | 100–150 characters | Compensates for semantic gaps after long text chunking, ensures contextual relevance during file review |
| Similarity Threshold | 0.72–0.85 | Matches the density of power generation group professional terms, filters low-relevance historical files |
| Single Search Limit | Top 10 entries | Controls retrieval result volume, aligns with the information processing pace of approval personnel |
defaultToken | 8192 | Adapts to the context window of lengthy case files, ensures complete splicing of retrieval results |
maxToken | 16384 | Covers vector generation and retrieval splicing requirements for the longest declaration materials |
Three Common Configuration Mistakes
- Calling the vector model returns a 401 status code. This occurs when the vector model key binding is incorrectly configured, or the channel permission does not cover the power generation group-specific vector service interface.
- Custom-split document chunk order is lost in the knowledge base, and duplicate chunks are automatically cleaned. This happens when the knowledge base deduplication switch is not disabled, or the splitting logic does not retain chunk association identifiers.
- Batch file retrieval responses time out. This occurs when multiple replica index nodes are not configured, or the chunk length is set too small, leading to an excessive number of index entries.
How to Verify Correct Configuration
- Upload a typical power generation group declaration material. Check that the vector generation log has no errors, and confirm that the
defaultTokenandmaxTokenconfigurations are correctly loaded. - Manually insert a duplicate document chunk. Verify that the knowledge base retains the chunk, and confirm that the deduplication switch status matches the intended configuration.
- Send a batch file retrieval request. Check that the interface response duration meets preset business requirements, and confirm that the multi-replica configuration is active.
- Test retrieval results across different similarity thresholds. Confirm that returned results align with the business relevance requirements of power generation groups.
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.