What this category of data looks like
The data for this category primarily comes from the 12345 citizen hotline platform, handling entity business systems, official knowledge bases, follow-up evaluation data, and local hotline management measures. The update frequency is daily. Daily processed documents include request registration forms, dispatch records, handling responses, follow-up records, extension applications, return explanations, and knowledge base entries. Core fields include request number, handling entity, request content, response content, follow-up satisfaction, and others. Some documents are structured forms, while others are unstructured text.
What constraints do these characteristics impose on the vector models and indexes link
The data sources for this category are scattered and updated daily, so indexes must support incremental synchronization of multi-source documents to avoid performance loss caused by full reconstruction. Documents include both structured forms and unstructured text, so chunking rules for different formats must be adapted to avoid losing contextual connections after splitting. Core fields cover the entire business process, so associated fields must be specified to filter irrelevant content and ensure retrieval results are strongly relevant to ticket handling scenarios. Additionally, the accuracy of policy and regulatory references directly affects ticket handling quality, so the relevance of vector recall must be strictly controlled to avoid response deviations from incorrect matches.
How to set configurations
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapts to the paragraph length of ticket-related documents, avoids overly fragmented or overly long chunks |
| Overlap Length | 100–150 characters | Retains contextual connections between adjacent chunks, prevents policy entries from being split apart |
| Similarity Threshold | 0.75–0.85 | Calibrated through actual testing, filters low-relevance policy content to ensure retrieval accuracy |
| Single Search Limit | Top 5 entries | Controls the total length of returned content to avoid exceeding the maxToken limit |
defaultToken | 2000 | Adapts to the summary extraction needs of policy text, balances content completeness and output length |
maxToken | 8000 | Complies with the context limit of FastGPT v4.17.0, adapts to the total length of multi-entry recall |
Three common mistakes
- Phenomenon: No valid business results are returned after custom index configuration. Cause: Associated fields of core business documents such as request registration forms and handling responses were not bound to the index, resulting in the index not loading valid ticket data.
- Phenomenon: Authentication failure error is returned when calling the vector model. Cause: Authentication parameters for the model channel were not configured correctly, and the interface format requirements of the corresponding model were not matched.
- Phenomenon: Context overrun error is triggered by retrieval results. Cause: The single search limit was set too high, and the value of
maxTokenwas not restricted, causing the returned content to exceed the model's supported range.
How to confirm the configuration is correct
- Upload a single typical ticket document, perform a retrieval test, and check whether the returned associated policy entries match the core theme of the request.
- View the index synchronization logs to confirm that daily incremental update tasks are running normally, with no failed or timed-out records.
- Check the vector model call logs to confirm there are no records of authentication failures, timeouts, or format errors.
- Adjust the similarity threshold to verify whether the relevance of retrieval results meets the expected requirements of the business scenario.
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.