What Data Looks Like for This Category
Data for this category originates from business systems, App permission lists, privacy policies, and user request records. It is maintained by privacy compliance teams, security consulting teams, or legal departments. Commonly processed documents include personal information lists, processing rules, impact assessment reports, and user authorization texts. Most documents combine structured fields and unstructured text. They include natural person identification-related fields, processing scenario descriptions, and compliance judgment items. Update frequency follows quarterly cycles or each time product functions are modified.
Constraints Imposed on Vector Models and Indexes
Data sources are scattered and include natural person identification information. Filter sensitive fields strictly during the indexing stage to avoid compliance risks. Update frequency adjusts with product changes. Indexes must support incremental updates to reduce maintenance costs from full reconstruction. Document types vary widely, including structured lists and long-text reports. Vector models must adapt to mixed-format text splitting to avoid losing compliance-critical information due to long text truncation. Data is linked to natural person information. The indexing process must not leak original personal information. Only encrypted vector features may be stored.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Chunk Length | 800–1200 characters | Matches the average length of documents such as personal information lists and processing rules. Prevents single chunks from containing excessive sensitive information or truncating key compliance clauses |
| Overlap Length | 100–200 characters | Retains compliance-related information across chunks. Avoids breaking the contextual integrity of processing rules when splitting |
| Similarity Threshold | 0.75–0.85 | Distinguishes similar personal information processing scenarios. Prevents duplicate indexing or incorrect association of different authorization texts |
| Single Search Limit | Top 8 entries | Balances the recall range and response speed of compliance queries. Avoids returning excessive associated information that causes redundant compliance judgments |
maxToken | 4096 token | Adapts to long-text impact assessment reports. Ensures full loading of context required for compliance judgments. FastGPT v4.17.0 natively supports this parameter range |
defaultToken | 2048 token | Meets context requirements for standard technical documentation and API Q&A. Balances resource usage and query performance |
Three Common Misconfiguration Issues
- Symptom: A call to the vector model API returns a 401 Unauthorized error. Curl testing returns normal vector results. Cause: The vector model access key configured in FastGPT is not bound to the corresponding model permissions, or the key was not synchronized with business system updates.
- Symptom: The index order generated after custom document splitting does not match the original document chunks. The custom split index order is lost. Cause: The knowledge base global deduplication switch is enabled. The system automatically deletes duplicate chunks and disrupts the original split order.
- Symptom: After the knowledge base index merging component runs, some similar personal information processing rules are not correctly identified, or key compliance clauses are incorrectly merged. Cause: The similarity threshold setting does not meet the matching requirements for compliance documents. The matching accuracy was not adjusted for documents such as personal information lists.
How to Verify Proper Configuration
- Upload a test personal information list document. Confirm that the number of split chunks matches expectations, and no obvious sensitive fields are omitted.
- Initiate a technical documentation and API Q&A query. Verify that the returned context is complete, and no key compliance clauses are truncated.
- Check the vector model call logs. Confirm that no abnormal status codes such as 401 or timeouts appear. Ensure API calls perform as expected.
- Disable the global deduplication switch, then upload a custom-split document. Verify that the index chunk order matches the original split results.
The values given 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 2026-10-19.