What this category of data looks like
Data for this category primarily comes from the "one task" special zone of the national government service platform, local integrated government service platforms, electronic certificate repositories, and departmental approval systems. Daily collected documents include joint handling item lists, one-time notice sheets, joint handling application forms, material transfer sheets, parallel approval opinions, completion receipts, and similar materials. The data update frequency is daily, and cross-departmental item association information must be covered. Fields include item number, department association relationship, material requirements, handling process nodes, and similar items. There is no fixed unified unit field; corresponding information must be matched based on the business attributes of each individual document.
What constraints do these characteristics impose on the vector model and index link
Decentralized data sources requiring daily updates require indexes to support incremental synchronization and compatible processing of multi-source heterogeneous documents. Document types include lists, forms, receipts, and other formats, with large structural differences between different documents. Chunking logic must be adjusted targeted to retain business association information. Cross-departmental item association relationships must be implemented via vector association, which sets requirements for index recall accuracy. In government scenarios, the accuracy of retrieval results directly affects joint handling processes, so low-relevance content recall must be avoided. It is also necessary to adapt to the large volume of new joint handling item data added daily to ensure retrieval efficiency.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Adapt to the paragraph logic of multiple document types such as joint handling item lists and application forms, retain complete business association information |
| Overlap Length | 100–200 characters | Prevent key information such as cross-chunk item processes and material requirements from being broken |
defaultToken | 8192 | Adapt to the long text processing needs of government documents, support complete semantic embedding of a single document |
maxToken | 16384 | Support merging context across multiple cross-departmental joint handling documents, cover complete joint handling process information |
| Similarity Threshold | 0.75–0.85 | Filter low-relevance policy clauses, ensure matching accuracy between retrieval results and joint handling items |
| Single Search Limit | Top 10 entries | Cover cross-departmental multi-link association information, avoid missing key handling requirements |
Three common misconfigurations
- Retrieval response times out, and the interface displays a 504 timeout status code. The cause is that index shard configuration is not adjusted for daily incrementally updated joint handling data, and excessive single-batch retrieval data volume causes exceeded time limits.
- Question and answer pair extraction tasks continuously show "indexing" and cannot become ready. The cause is that incremental index trigger rules are not configured, and full indexing is executed repeatedly daily, occupying system resources and blocking the task queue.
- When using the
text-embedding-3-largemodel, the indexing task gets stuck. Restarting the service after commenting out the model does not resolve the issue. The cause is that old embedding cache files are not cleaned up, and model call timeout limits are not configured, leading to long-term resource occupation.
How to confirm configurations are correctly set
- View the indexing task logs of FastGPT v4.17.0, confirm that incremental synchronization tasks only trigger during daily specified time periods, with no records of repeated full index execution.
- Initiate a policy query for a cross-departmental joint handling item, verify that the number of returned recall entries matches the configured single search limit.
- Import a duplicate joint handling application form document, confirm that the system only generates one valid index entry, with no duplicate data entries.
- Switch the embedding model to
text-embedding-3-large, confirm that the indexing task can complete normally with no timeout errors.
The values provided here 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.