What Data for This Category Looks Like
Data primarily comes from internal real estate enterprise financing ledgers, credit approval receipts from partner banks, and project filing public notices issued by housing and construction authorities. Updates occur on a daily basis. Each daily report covers full financing updates for all residential development projects from the previous day. Documents are primarily structured tables, with fields including project name, financing entity, loan amount, financing term, annual interest rate, repayment method, filing number, and more. Amount unit is ten thousand yuan, term unit is month or year, and interest rate unit is percentage. Some daily reports include text attachments for project planning approvals, with most individual attachments under several thousand characters in length.
Constraints Imposed by These Characteristics on Vector Models and Indexing
A high proportion of fields are structured. It is necessary to distinguish vector generation logic for text and numeric fields, to avoid passing pure numeric fields directly to general text vector models, which causes semantic loss. The daily incremental update feature requires indexes to support incremental synchronization, to avoid resource waste and latency caused by full index rebuilding. Each daily report has a fixed and limited number of fields, so high-value fields must be selectively included in the vector pool to reduce unnecessary computation. Attached text attachments must be bound and associated with structured fields, to ensure that retrieval can recall both basic project information and supplementary explanatory content. Batch data volume grows gradually as projects advance, so appropriate index sharding strategies must be configured to maintain retrieval performance.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunk_size | 800–1200 characters | Adapts to the mixed length of structured fields and attachments for individual daily reports, avoids semantic truncation |
enable_incremental_index | Enabled | Matches the daily update rhythm, reduces resource consumption and time delay from full indexing |
vector_model | bge-large-zh-v1.5 | Adapts to semantic understanding of Chinese financial text, supports mixed encoding of structured fields and text attachments |
recall_top_k | Top 10 entries | Covers multi-dimensional financing information for residential development projects, avoids missing key associated entries |
similarity_threshold | 0.75 | Filters low-relevance financing entries, ensures accuracy of retrieval results |
index_refresh_interval | 300 seconds | Matches the daily update frequency, ensures newly uploaded daily report data is included in the index in a timely manner |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: After batch uploading a large number of residential development financing daily report files, a server restart causes the knowledge base status to get stuck at "Not Ready" with no automatic indexing action. Cause: The
enable_incremental_indexconfiguration is not enabled. After a full indexing task is interrupted, it does not automatically recover, and manual rebuilding is required. - Issue: After updating the platform version to 4.9–4.10, no results are returned when initiating a search from the existing knowledge base. Cause: The vector model version changes with the platform update, and the vector embeddings of existing documents are not regenerated, resulting in a mismatch between old and new vector spaces.
- Issue: Search results include a large number of irrelevant commercial real estate financing entries. Cause: Specialized filtering for residential development exclusive fields is not performed, and non-residential project financing data is not filtered during the indexing phase.
How to Confirm Proper Configuration
- Log in to the knowledge base management page, check that the configuration values for
enable_incremental_indexandindex_refresh_intervalmatch the preset plan. - Upload a single test residential development financing daily report file, wait 5 minutes then check the indexing progress page, confirm the status changes to "Ready".
- Initiate a retrieval test, enter a query containing a specific residential project name and loan amount, confirm that the retrieved results include the corresponding structured fields and attachment content.
- Check the system logs, confirm there are no error records such as "vector generation failed" or "index timeout".
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.