What This Category of Data Looks Like
This category of data primarily originates from the 12345 citizen hotline platform, contractor business systems, official knowledge bases, return visit evaluation data, and local hotline management regulations. Daily documents include request registration forms, dispatch records, handling responses, visit records, delay applications, return explanations, and standardized knowledge base entries. Data updates occur daily, covering full ticket circulation and business adjustment information. Data fields include request type, responsible unit, handling progress, public evaluation, and other items. Most data exists in a mixed form combining colloquial requests and structured business records.
What Constraints These Characteristics Impose on Knowledge Base Retrieval and Recall
Daily updated ticket data requires the retrieval system to support incremental synchronization, avoiding excessive resource usage from full index rebuilding. Colloquial request expressions mixed with structured business records require retrieval to cover both semantic relevance and precise field matching. The timeliness requirement of ticket review means retrieval response time must be controlled within a reasonable range, to avoid affecting ticket circulation efficiency. The need to isolate business data from general knowledge bases requires limiting the retrieval scope to the exclusive ticket dataset, preventing irrelevant content from interfering with review judgments.
Configuration Guidelines
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | Matches colloquial requests from 12345 tickets, balances recall accuracy and coverage, avoids missing or misjudging request types |
limit | Top 6 entries | Adapts to the context length limit of ticket review, reduces interference from redundant information for reviewers |
searchMode | Semantic retrieval | Adapts to non-standard expressions of public requests, associates both keywords and semantically related content |
usingReRank | Enabled | Performs secondary ranking on initial recall results, corrects deviations from semantic retrieval, improves matching between response templates and actual requests |
datasetSearchUsingExtensionQuery | Enabled | Automatically expands request keywords to cover synonymous expressions, such as matching "stuck in processing" to documents related to "processing blocked" |
collectionIds | Bind exclusive ticket dataset | Isolates business data from general knowledge bases, ensures retrieval scope only covers documents related to 12345 tickets |
Three Common Configuration Mistakes
- Retrieval response time exceeds 2 seconds. Phenomenon: The ticket review interface loads with delay, and background logs show excessive time consumption during the retrieval phase. Cause: The
limitparameter is not restricted, recalling too many redundant documents leading to excessive context length and increased parsing delay. - Error
upstream connect error or disconnect/reset before headoccurs when uploading knowledge base files. Phenomenon: The file upload progress is interrupted, and the interface displays a connection abnormality prompt. Cause: No reasonable file chunk size is configured, or the dataset storage path permissions are not set correctly. - Retrieval results fail to match the target request type. Phenomenon: Reviewers cannot find matching dispatch records or response templates. Cause:
datasetSearchUsingExtensionQueryis not enabled, so synonymous expressions of public requests cannot be covered, leading to missed precise recalls.
How to Verify Proper Configuration
- Submit one test ticket, check whether the number of documents returned by retrieval matches the configured
limitvalue. - Trigger multiple retrieval operations, check whether the response time meets the time requirements of the business scenario.
- Test non-standard request expressions, such as "I want to ask how to handle social security", confirm that relevant handling responses and process documents can be recalled.
- Check the knowledge base index logs, confirm that the daily incremental update task is running normally with no error records.
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.