What data looks like for this category
Data for this category primarily comes from filing documents, school operation qualification archives, teacher resume databases, course outline documents, annual financial ledgers, and regulatory public disclosure information of educational service institutions. Update frequency varies by content type:
- School operation qualifications and regulatory filing information are updated annually
- Teacher changes and course adjustments are synchronized in real time
- Financial ledgers are updated quarterly
Document structures include structured fields such as school operation license numbers and teacher headcounts, semi-structured regulatory public disclosure tables, and unstructured course details and student feedback reports. Field units include exclusive educational service identifiers such as class hours, academic terms, and yuan per academic year.
What constraints do these characteristics impose on knowledge base retrieval and recall
The data characteristics of this category impose multiple constraints on the retrieval and recall process. Structured qualification fields require precise matching retrieval to avoid irrelevant results from fuzzy matching. Semi-structured regulatory public disclosure tables must be indexed by column to ensure accuracy of field-level retrieval. Different update frequencies require differentiated incremental and full update trigger logic: Full reindexing is triggered for annual filing data. Real-time changing teacher information triggers incremental synchronization. Exclusive educational service field units such as class hours and academic years need normalization before retrieval to prevent matching failures from unit expression differences. For long documents such as course outlines or financial ledgers, adjust segmentation rules to adapt to long-text retrieval and avoid losing key associated information due to context truncation.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Educational service due diligence documents often contain long financial ledgers or course outlines, leading to extended parsing times |
chunk_size | 800–1200 characters | Educational service documents mostly include continuous course descriptions or financial details. This segmentation length preserves contextual associations |
recall_top_k | Top 8–12 results | Due diligence reports need to cover multi-dimensional information such as qualifications, teachers, and finances. An appropriate number of recalled results ensures retrieval comprehensiveness |
similarity_threshold | 0.72–0.80 | Educational service field units are diverse. This range avoids recalling irrelevant documents with low matching degrees |
enable_incremental_sync | Enabled | Real-time changing data such as teacher information and course content needs to be synchronized to the knowledge base in a timely manner to ensure the timeliness of retrieval content |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Educational service due diligence documents often include multiple financial ledgers or batch course materials, requiring support for large file uploads |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Retrieval links return empty knowledge base fragment fields, or return results without the
referenceidentifier. The cause is failing to include knowledge base association parameters in the conversation interface, or incorrect parameter configuration. - Uploaded educational service qualification files fail parsing and return the
413 Request Entity Too Largestatus code. The cause is failing to adjust theUPLOAD_FILE_MAX_SIZEconfiguration, exceeding the default limit. - Core qualification information is missing from recall results when retrieving long document course outlines. The cause is segmentation length being set too short, truncating associated content across segments.
How to Confirm Configuration Is Correct
- Upload a typical educational service due diligence document. Check if parsed segments retain core fields and contextual associations. Adjust segmentation configuration to meet required length standards.
- Trigger an incremental synchronization task. Verify that latest changes to teacher or course information have been synchronized to the knowledge base, confirming incremental synchronization configuration is active.
- Submit a due diligence-related retrieval request. Check if returned result field units match expectations. Adjust the similarity threshold to an appropriate range.
- Submit a conversation request with knowledge base association. Check if returned results include the identification of knowledge base fragments, confirming conversation interface parameter configuration is correct.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.