What the data for this category looks like
This category's data mainly comes from the random inspection and public disclosure supervision platform, enterprise credit information public disclosure system, industry supervision system, and law enforcement officer directory. The update frequency is once per month. Daily processed documents include inspection plans, inspection target lists, inspection item lists, on-site inspection records, rectification notices, and inspection result public disclosures. Document fields usually include supervision target identifiers, inspection item classifications, law enforcement officer qualification information, inspection time nodes, and result statuses. The length of individual documents varies widely, ranging from short inspection item entries to complete on-site inspection records.
What constraints these characteristics impose on the vector model and indexing workflow
The data characteristics of this category impose multiple constraints on the vector model and indexing workflow. The monthly update rhythm requires configuring an incremental index trigger mechanism. This mechanism ensures the timeliness of indexes for core data such as inspection plans and inspection target lists. It prevents retrieval of expired information. The wide range of document lengths requires flexible chunking rules. These rules ensure that short inspection item entries retain core information completely. They also avoid semantic fragmentation after long documents are split. Structured fields such as unified social credit codes and law enforcement officer certificate numbers require distinguishing indexing logic for structured and unstructured data. This logic ensures retrieval accuracy for supervision target matching and law enforcement officer qualification verification. Additionally, the strong association of inspection result public disclosures requires synchronizing the indexing link with the public disclosure process. This synchronization prevents retrieval results from differing from actual public disclosure statuses.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the mixed-length documents of this category, avoids overly fragmented or overly long splits |
| Overlap Length | 100–150 characters | Ensures semantic coherence between adjacent chunks, covers cross-chunk associated information of inspection items |
| Similarity Threshold | 0.75–0.85 | Matches the accuracy requirements for supervision target and inspection item matching, filters low-relevance historical records |
maxToken | 8000 | Adapts to the vector encoding limit for long documents such as on-site inspection records, avoids truncation of core content |
| Reranking | Enabled, top 3–5 results | Improves result relevance for law enforcement officer matching and inspection item retrieval |
| Single Search Limit | Top 10 results | Controls the scale of retrieval results, adapts to the short context requirements of supervision inspection document drafting |
Three common misconfigurations
- Retrieval results include expired inspection target lists. This leads to non-compliant supervision target extraction. The root cause is failure to configure an incremental index synchronization mechanism. Index data is not refreshed with monthly updates.
- Vector encoding of long documents is truncated. This leads to missing key content in generated rectification notice documents. The root cause is failure to adjust the
maxTokenparameter to a value suitable for long documents. This causes ultra-long content to be truncated. - Retrieved inspection items do not match the current supervision category. Excessive result entries interfere with document drafting. The root cause is failure to set a reasonable similarity threshold. This leads to recall of low-relevance results.
How to confirm proper configuration
- Check the index update log in FastGPT v4.17.0. Confirm that index synchronization is automatically triggered after monthly data updates. Verify that the incremental index configuration is active.
- Upload the longest single on-site inspection record. Check that vector encoding is complete. No truncation prompts appear. Verify that the
maxTokenconfiguration is reasonable. - Enter supervision category keywords to retrieve the inspection item list. Confirm that result relevance meets business expectations. Verify that the similarity threshold and reranking configuration are effective.
- Import test data from the law enforcement officer directory. Retrieve and match law enforcement officers. Confirm that recalled results meet qualification requirements. Verify that chunking and retrieval configurations are reasonable.
All provided configuration values are common starting points. They 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.