What the data for this category looks like
Data sources include internal service guide manuals, state-owned asset supervision policy documents, past user inquiry ledgers, and offline service window records. Update frequency: policy documents are updated irregularly per regulatory requirements; service guides are updated in real time or weekly as service items are adjusted; inquiry ledgers are synced daily. Document structure is divided into structured item types (including item name, handling conditions, material list, handling time limit) and unstructured question-and-answer types (including inquiry question, response content, handling result). Fields include item code, handling subject, inquiry user type, and others. Common units are workdays, items, and person-times.
What constraints these characteristics impose on the vector models and indexes link
Long texts in service guides require proper splitting to preserve complete semantics, and avoid losing item associations after chunking. Regulatory policies contain many specialized terms, so vector models must adapt to domain-specific vocabulary for state-owned assets to improve matching accuracy. Uneven data update frequencies require indexes to support incremental construction, avoiding full reconstruction that consumes resources. Multi-field mixed data requires unified vector processing logic to ensure consistent retrieval across different document types. Short-text inquiry questions need to retain contextual associations, avoiding semantic breaks after splitting.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | State-owned asset management company service guides are mostly structured long texts. This range retains the complete semantics of a single service item |
| Overlap Length | 100–150 characters | Connects context between adjacent chunks, avoids semantic breaks after long text splitting |
| Similarity Threshold | 0.72–0.80 | Filters low-relevance search results, adapts to scenarios with many specialized terms in the state-owned asset sector, ensures response accuracy |
| Single Search Limit | Top 8 entries | Service inquiries require precise results. Excessive results increase screening costs, aligning with user needs for quick access to information |
maxToken | 8000 token | Adapts to input limits of mainstream vector models, ensures that spliced context after retrieval can be fully passed to the generation link |
| Question Optimization | Enabled | Optimizes colloquial service inquiry questions, improves the accuracy of retrieval matching |
Three Common Misconfigurations
- Phenomenon: After uploading a service guide document, search results return a large number of irrelevant policy fragments and fail to accurately match inquiry questions. Cause: No reasonable chunk length and overlap length set, leading to semantic breaks during chunking, and irrelevant content is matched during retrieval.
- Phenomenon: After locally deploying FastGPT v4.17.0, the image index model option does not appear when creating a new knowledge base. Cause: Corresponding function permissions not enabled, or the local deployment package does not integrate image index plugins adapted to the scenario.
- Phenomenon: After incrementally updating state-owned asset supervision policy documents, new content is not included in search results. Cause: Incremental index trigger rules not configured, or the trigger conditions for incremental updates do not match document update tags.
How to Confirm Configuration is Correct
- Upload a typical service guide document, check the chunking results generated by the system, confirm that chunk length and overlap length fall within the configured range.
- Enter a high-frequency service inquiry question, check the number of returned search results and similarity scores, confirm that the threshold and search limit configurations take effect.
- Upload an updated policy file, wait for index construction to complete, search for relevant keywords, confirm that new content has been included in the retrieval scope.
- Check the vector model call logs, confirm that the similarity scores of matching results fall within the set threshold range.
The values provided 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.